diff --git a/.gitmodules b/.gitmodules index 99f1ef41..38b95de5 100644 --- a/.gitmodules +++ b/.gitmodules @@ -1,3 +1,3 @@ -[submodule "coloquinte2"] - path = coloquinte2 +[submodule "coloquinte"] + path = coloquinte url = git@github.com:Coloquinte/PlaceRoute.git diff --git a/bootstrap/Makefile.package b/bootstrap/Makefile.package index 5090eead..c5dca5a5 100644 --- a/bootstrap/Makefile.package +++ b/bootstrap/Makefile.package @@ -4,7 +4,7 @@ pythonSiteLocator = "import distutils.sysconfig; print distutils.sysconfig.get_python_lib(1)" - tools = bootstrap vlsisapd hurricane crlcore coloquinte coloquinte2 etesian knik \ + tools = bootstrap vlsisapd hurricane crlcore coloquinte etesian knik \ katabatic kite equinox solstice cumulus stratus1 unicorn documentation prefix = /usr rootPrefix = $(subst /usr,,$(prefix)) diff --git a/bootstrap/build.conf b/bootstrap/build.conf index 636b47db..6f3aa465 100644 --- a/bootstrap/build.conf +++ b/bootstrap/build.conf @@ -15,7 +15,6 @@ projects = [ , 'tools' : [ "bootstrap" , "lefdef" , "coloquinte" - , "coloquinte2" , "hurricane" , "crlcore" , "flute" diff --git a/bootstrap/coriolis2.spec.in b/bootstrap/coriolis2.spec.in index 2f1ef48b..c1f83ffd 100644 --- a/bootstrap/coriolis2.spec.in +++ b/bootstrap/coriolis2.spec.in @@ -157,7 +157,6 @@ Development files for the Coriolis 2 package. %dir %{coriolisTop}/include/vlsisapd/dtr %dir %{coriolisTop}/include/vlsisapd/openChams %dir %{coriolisTop}/include/coriolis2/coloquinte -%dir %{coriolisTop}/include/coriolis2/coloquinte2 %dir %{coriolisTop}/include/coriolis2/hurricane %dir %{coriolisTop}/include/coriolis2/hurricane/viewer %dir %{coriolisTop}/include/coriolis2/hurricane/isobar @@ -181,7 +180,7 @@ Development files for the Coriolis 2 package. %{coriolisTop}/include/vlsisapd/configuration/*.h %{coriolisTop}/include/vlsisapd/dtr/*.h %{coriolisTop}/include/vlsisapd/openChams/*.h -%{coriolisTop}/include/coriolis2/coloquinte/*.hxx +%{coriolisTop}/include/coriolis2/coloquinte/*.hpp %{coriolisTop}/include/coriolis2/hurricane/*.h %{coriolisTop}/include/coriolis2/hurricane/viewer/*.h %{coriolisTop}/include/coriolis2/hurricane/isobar/*.h diff --git a/builder.py b/builder.py index 2ab2ba45..53f4b6b7 100644 --- a/builder.py +++ b/builder.py @@ -117,7 +117,6 @@ class ExtensionBuilder(build_ext): def build(setup_kwargs: Dict[str, Any]) -> None: cmake_modules = [ CMakeExtension("coloquinte", sourcedir="coloquinte"), - CMakeExtension("coloquinte2", sourcedir="coloquinte2"), CMakeExtension("Hurricane", sourcedir="hurricane"), CMakeExtension("crlcore", sourcedir="crlcore"), CMakeExtension("flute", sourcedir="flute"), diff --git a/coloquinte2 b/coloquinte similarity index 100% rename from coloquinte2 rename to coloquinte diff --git a/coloquinte/CMakeLists.txt b/coloquinte/CMakeLists.txt deleted file mode 100644 index b2e6638e..00000000 --- a/coloquinte/CMakeLists.txt +++ /dev/null @@ -1,34 +0,0 @@ -# -*- explicit-buffer-name: "CMakeLists.txt" -*- - - set(CMAKE_LEGACY_CYGWIN_WIN32 0) - project(COLOQUINTE) - - set(ignoreVariables "${CMAKE_INSTALL_DIR}" "${BUILD_DOC}") - -#option(BUILD_DOC "Build the documentation (doxygen)" OFF) - option(USE_LIBBFD "Link with BFD libraries to print stack traces" OFF) - - cmake_minimum_required(VERSION 3.16) - - list(INSERT CMAKE_MODULE_PATH 0 "${DESTDIR}$ENV{CORIOLIS_TOP}/share/cmake/Modules/") - find_package(Bootstrap REQUIRED) - setup_project_paths(CORIOLIS) - setup_qt() - - set_cmake_policies() - setup_boost() - - find_package(Libexecinfo REQUIRED) - find_package(Doxygen) - - if(WITH_OPENMP) - find_package(OpenMP REQUIRED) - add_definitions(${OpenMP_CXX_FLAGS}) - set(CMAKE_MODULE_LINKER_FLAGS "${CMAKE_MODULE_LINKER_FLAGS} ${OpenMP_CXX_FLAGS}") - set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} ${OpenMP_CXX_FLAGS}") - set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} ${OpenMP_CXX_FLAGS}") - endif() - - add_subdirectory(src) - add_subdirectory(cmake_modules) -#add_subdirectory(doc) diff --git a/coloquinte/cmake_modules/CMakeLists.txt b/coloquinte/cmake_modules/CMakeLists.txt deleted file mode 100644 index f6ebce00..00000000 --- a/coloquinte/cmake_modules/CMakeLists.txt +++ /dev/null @@ -1,2 +0,0 @@ - -install ( FILES FindCOLOQUINTE.cmake DESTINATION share/cmake/Modules ) diff --git a/coloquinte/cmake_modules/FindCOLOQUINTE.cmake b/coloquinte/cmake_modules/FindCOLOQUINTE.cmake deleted file mode 100644 index ed057107..00000000 --- a/coloquinte/cmake_modules/FindCOLOQUINTE.cmake +++ /dev/null @@ -1,37 +0,0 @@ -# - Find the Coloquinte includes and libraries. -# The following variables are set if Coriolis is found. If COLOQUINTE is not -# found, COLOQUINTE_FOUND is set to false. -# COLOQUINTE_FOUND - True when the Coriolis include directory is found. -# COLOQUINTE_INCLUDE_DIR - the path to where the Coriolis include files are. -# COLOQUINTE_LIBRARIES - The path to where the Coriolis library files are. - - -SET(COLOQUINTE_INCLUDE_PATH_DESCRIPTION "directory containing the Coloquinte include files. E.g /usr/local/include/coriolis2 or /asim/coriolis/include/coriolis2") - -SET(COLOQUINTE_DIR_MESSAGE "Set the COLOQUINTE_INCLUDE_DIR cmake cache entry to the ${COLOQUINTE_INCLUDE_PATH_DESCRIPTION}") - -# don't even bother under WIN32 -IF(UNIX) - # - # Look for an installation. - # - FIND_PATH(COLOQUINTE_INCLUDE_PATH NAMES coloquinte/netlist.hxx PATHS - # Look in other places. - ${CORIOLIS_DIR_SEARCH} - PATH_SUFFIXES include/coriolis2 - # Help the user find it if we cannot. - DOC "The ${COLOQUINTE_INCLUDE_PATH_DESCRIPTION}" - ) - - FIND_LIBRARY(COLOQUINTE_LIBRARY_PATH - NAMES coloquinte - PATHS ${CORIOLIS_DIR_SEARCH} - PATH_SUFFIXES lib64 lib - # Help the user find it if we cannot. - DOC "The ${COLOQUINTE_INCLUDE_PATH_DESCRIPTION}" - ) - - SET_LIBRARIES_PATH(COLOQUINTE COLOQUINTE) - HURRICANE_CHECK_LIBRARIES(COLOQUINTE) - -ENDIF(UNIX) diff --git a/coloquinte/src/CMakeLists.txt b/coloquinte/src/CMakeLists.txt deleted file mode 100644 index ac0e00e8..00000000 --- a/coloquinte/src/CMakeLists.txt +++ /dev/null @@ -1,39 +0,0 @@ -# -*- explicit-buffer-name: "CMakeLists.txt" -*- - -include_directories( ${COLOQUINTE_SOURCE_DIR}/src - ) - -set ( includes coloquinte/circuit.hxx - coloquinte/circuit_helper.hxx - coloquinte/common.hxx - coloquinte/netlist.hxx - coloquinte/solvers.hxx - coloquinte/rough_legalizers.hxx - coloquinte/legalizer.hxx - coloquinte/detailed.hxx - coloquinte/topologies.hxx - coloquinte/optimization_subproblems.hxx - coloquinte/piecewise_linear.hxx - ) -set ( cpps circuit.cxx - checkers.cxx - rough_legalizers.cxx - solvers.cxx - optimization_subproblems.cxx - piecewise_linear.cxx - orientation.cxx - detailed.cxx - cell_swapping.cxx - #MCF_opt.cxx - row_opt.cxx - topologies.cxx - lookup_table.cxx - legalizer.cxx - ) - - add_library ( coloquinte ${cpps} ) -set_target_properties( coloquinte PROPERTIES VERSION 1.0 SOVERSION 1 ) - -install( TARGETS coloquinte DESTINATION lib${LIB_SUFFIX} ) -install( FILES ${includes} DESTINATION include/coriolis2/coloquinte ) - diff --git a/coloquinte/src/cell_swapping.cxx b/coloquinte/src/cell_swapping.cxx deleted file mode 100644 index 7e40b935..00000000 --- a/coloquinte/src/cell_swapping.cxx +++ /dev/null @@ -1,185 +0,0 @@ - -#include "coloquinte/detailed.hxx" -#include "coloquinte/circuit_helper.hxx" - -#include - -namespace coloquinte{ -namespace dp{ - -namespace{ - -// Tries to swap two cells; -inline bool try_swap(netlist const & circuit, detailed_placement & pl, index_t c1, index_t c2, bool try_flip, -std::function const &)> get_nets_cost){ - assert(pl.cell_height(c1) == 1 and pl.cell_height(c2) == 1); - assert( (circuit.get_cell(c1).attributes & XMovable) != 0 and (circuit.get_cell(c1).attributes & YMovable) != 0); - assert( (circuit.get_cell(c2).attributes & XMovable) != 0 and (circuit.get_cell(c2).attributes & YMovable) != 0); - - auto c1_bnds = pl.get_limit_positions(circuit, c1), - c2_bnds = pl.get_limit_positions(circuit, c2); - - // Get the possible positions for a swap - int_t swp_min_c1 = c2_bnds.first, - swp_min_c2 = c1_bnds.first, - swp_max_c1 = c2_bnds.second - circuit.get_cell(c1).size.x, - swp_max_c2 = c1_bnds.second - circuit.get_cell(c2).size.x; - - if(swp_max_c1 >= swp_min_c1 and swp_max_c2 >= swp_min_c2){ - // Check both orientations of the cell - - // Get all the nets involved and uniquify them (nets with more than one pin on the cells) - std::vector involved_nets; - for(netlist::pin_t p : circuit.get_cell(c1)){ - involved_nets.push_back(p.net_ind); - } - for(netlist::pin_t p : circuit.get_cell(c2)){ - involved_nets.push_back(p.net_ind); - } - std::sort(involved_nets.begin(), involved_nets.end()); - involved_nets.resize(std::distance(involved_nets.begin(), std::unique(involved_nets.begin(), involved_nets.end()))); - - // Test the cost for the old position and the cost swapping the cells - std::int64_t old_cost = get_nets_cost(circuit, pl, involved_nets); - - // Save the old values - point p1 = pl.plt_.positions_[c1]; - point p2 = pl.plt_.positions_[c2]; - point o1 = pl.plt_.orientations_[c1]; - point o2 = pl.plt_.orientations_[c2]; - - // Warning: won't work if the two cells don't have the same height - pl.plt_.positions_[c1].x = (swp_min_c1 + swp_max_c1) / 2; - pl.plt_.positions_[c2].x = (swp_min_c2 + swp_max_c2) / 2; - pl.plt_.positions_[c1].y = p2.y; - pl.plt_.positions_[c2].y = p1.y; - - // For standard cell placement, we want all the rows to be aligned in the same way - if( (circuit.get_cell(c1).attributes & YFlippable) != 0 and (circuit.get_cell(c2).attributes & YFlippable) != 0) - std::swap(pl.plt_.orientations_[c1].y, pl.plt_.orientations_[c2].y); - - if(try_flip and (circuit.get_cell(c1).attributes & XFlippable) != 0 and (circuit.get_cell(c2).attributes & XFlippable) != 0){ - index_t bst_ind = 4; - for(index_t i=0; i<4; ++i){ - pl.plt_.orientations_[c1].x = i % 2; - pl.plt_.orientations_[c2].x = i / 2; - std::int64_t new_cost = get_nets_cost(circuit, pl, involved_nets); - if(new_cost < old_cost){ - old_cost = new_cost; - bst_ind = i; - } - } - - // One of the orientations with the new positions was better - if(bst_ind < 4){ - pl.swap_standard_cell_topologies(c1, c2); - pl.plt_.orientations_[c1].x = bst_ind % 2; - pl.plt_.orientations_[c2].x = bst_ind / 2; - // We kept the swap - return true; - } - else{ - pl.plt_.positions_[c1] = p1; - pl.plt_.positions_[c2] = p2; - pl.plt_.orientations_[c1] = o1; - pl.plt_.orientations_[c2] = o2; - return false; - } - } - else if(get_nets_cost(circuit, pl, involved_nets) < old_cost){ - pl.swap_standard_cell_topologies(c1, c2); - return true; - } - else{ - // Reset the old values since we didn't swap anything - pl.plt_.positions_[c1] = p1; - pl.plt_.positions_[c2] = p2; - pl.plt_.orientations_[c1] = o1; - pl.plt_.orientations_[c2] = o2; - return false; - } - - // A better solution would be - // Check the cost on y depending on the position (extremely simple: two positions for each cell) - // Check the cost on x depending on the position: piecewise linear and relatively complex - // * Get all external pins - // * Get all nets involving only one of the cells: piecewise linear cost for each of them - // * For nets involving the two cells, we have an additional cost - - } - else{ // We just cannot swap those two cells without pushing anything - return false; - } -} - -inline void generic_swaps_global(netlist const & circuit, detailed_placement & pl, index_t row_extent, index_t cell_extent, bool try_flip, -std::function const &)> get_nets_cost){ - for(index_t main_row = 0; main_row < pl.row_cnt(); ++main_row){ - - for(index_t other_row = main_row+1; other_row <= std::min(pl.row_cnt()-1, main_row+row_extent) ; ++other_row){ - - index_t first_oc = pl.get_first_standard_cell_on_row(other_row); // The first candidate cell to be examined - for(index_t c = pl.get_first_standard_cell_on_row(main_row); c != null_ind; c = pl.get_next_standard_cell_on_row(c, main_row)){ - assert(pl.cell_rows_[c] == main_row); - if( (circuit.get_cell(c).attributes & XMovable) == 0) continue; // Don't touch fixed cells - - // Number of cells after/before the end of the cell - index_t nb_after = 0; - index_t nb_before = 0; - int_t pos_low = pl.plt_.positions_[c].x - circuit.get_cell(c).size.x, - pos_hgh = pl.plt_.positions_[c].x + 2*circuit.get_cell(c).size.x; - for(index_t oc=first_oc; oc != null_ind and nb_after <= row_extent; oc = pl.get_next_standard_cell_on_row(oc, other_row)){ - assert(pl.cell_rows_[oc] == other_row); - if( (circuit.get_cell(oc).attributes & XMovable) == 0) continue; // Don't touche fixed cells - - // Count the cells which should trigger stop or shouldn't be used at the next iteration - if(pl.plt_.positions_[oc].x >= pos_hgh) ++nb_after; - if(pl.plt_.positions_[oc].x + circuit.get_cell(oc).size.x <= pos_low) ++ nb_before; - - if(try_swap(circuit, pl, c, oc, try_flip, get_nets_cost)){ - std::swap(c, oc); - if(c == first_oc) first_oc = oc; - } - } - while(nb_before > cell_extent){ - nb_before--; - first_oc = pl.get_next_standard_cell_on_row(first_oc, other_row); - } - } - } - } - pl.selfcheck(); -} - -} // End anonymous namespace - -void swaps_global_HPWL(netlist const & circuit, detailed_placement & pl, index_t row_extent, index_t cell_extent, bool try_flip){ - generic_swaps_global(circuit, pl, row_extent, cell_extent, try_flip, - [](netlist const & circuit, detailed_placement const & pl, std::vector const & involved_nets) -> std::int64_t{ - std::int64_t sum = 0; - for(index_t n : involved_nets){ - if(circuit.get_net(n).pin_cnt <= 1) continue; - sum += get_HPWL_length(circuit, pl.plt_, n); - } - return sum; - }); -} - -void swaps_global_RSMT(netlist const & circuit, detailed_placement & pl, index_t row_extent, index_t cell_extent, bool try_flip){ - generic_swaps_global(circuit, pl, row_extent, cell_extent, try_flip, - [](netlist const & circuit, detailed_placement const & pl, std::vector const & involved_nets) -> std::int64_t{ - std::int64_t sum = 0; - for(index_t n : involved_nets){ - if(circuit.get_net(n).pin_cnt <= 1) continue; - sum += get_RSMT_length(circuit, pl.plt_, n); - } - return sum; - }); -} - -} // namespace dp -} // namespace coloquinte - - - - diff --git a/coloquinte/src/checkers.cxx b/coloquinte/src/checkers.cxx deleted file mode 100644 index bd861947..00000000 --- a/coloquinte/src/checkers.cxx +++ /dev/null @@ -1,96 +0,0 @@ - -#include "coloquinte/circuit.hxx" - -#include - -namespace coloquinte{ - -void netlist::selfcheck() const{ - index_t cell_cnt = cell_areas_.size(); - assert(cell_cnt+1 == cell_limits_.size()); - assert(cell_cnt == cell_sizes_.size()); - assert(cell_cnt == cell_attributes_.size()); - assert(cell_cnt == cell_internal_mapping_.size()); - - index_t net_cnt = net_weights_.size(); - assert(net_cnt+1 == net_limits_.size()); - assert(net_cnt == net_internal_mapping_.size()); - - index_t pin_cnt = pin_offsets_.size(); - assert(pin_cnt == cell_indexes_.size()); - assert(pin_cnt == pin_indexes_.size()); - assert(pin_cnt == net_indexes_.size()); - - for(auto const p : pin_offsets_){ - assert(std::isfinite(p.x) and std::isfinite(p.y)); - } -} - -// For compatibility reasons -void placement_t::selfcheck() const{ -} - -void verify_placement_legality(netlist const & circuit, placement_t const & pl, box surface){ - std::vector > cells; - for(index_t i=0; i(pl.positions_[i], pl.positions_[i] + S)); - - // Verify that they are within the placement surface; doesn't take fixed macros into account - if( (circuit.get_cell(i).attributes & XMovable) != 0 or (circuit.get_cell(i).attributes & YMovable) != 0){ - assert(cells[i].in(surface)); - } - } - - // Simple sweepline algorithm to verify that there is no overlap - struct event{ - int_t x_min, x_max, y; - index_t cell; - bool removal; - bool operator<(event const o) const{ - return y < o.y - or (y == o.y and removal and not o.removal); // Remove before inserting - } - }; - - std::vector all_events; - for(index_t i=0; i b.x_min and e.y != b.y){ - all_events.push_back(b); - all_events.push_back(e); - } - } - - std::sort(all_events.begin(), all_events.end()); - - // Indexed by beginning of interval, with end of interval and cell within - std::map > active_rectangles; - - for(event E : all_events){ - if(E.removal){ - auto it = active_rectangles.find(E.x_min); - assert(it != active_rectangles.end()); - active_rectangles.erase(it); - } - else{ // Find anything that intersects with E; if not, add it - auto it = active_rectangles.lower_bound(E.x_min); // First interval after - if(it != active_rectangles.end()){ - assert(it->first >= E.x_max); //Intersection between E.cell and it->second->second - } - if(it != active_rectangles.begin()){ - --it; - assert(it->second.first <= E.x_min); //Intersection between E.cell and it->second->second - } - active_rectangles.insert(std::pair >(E.x_min, std::pair(E.x_max, E.cell))); - } - } - -} - -} // namespace coloquinte diff --git a/coloquinte/src/circuit.cxx b/coloquinte/src/circuit.cxx deleted file mode 100644 index b91cb864..00000000 --- a/coloquinte/src/circuit.cxx +++ /dev/null @@ -1,408 +0,0 @@ - -#include "coloquinte/circuit_helper.hxx" -#include "coloquinte/circuit.hxx" -#include - -namespace coloquinte{ - -std::int64_t get_HPWL_length(netlist const & circuit, placement_t const & pl, index_t net_ind){ - if(circuit.get_net(net_ind).pin_cnt <= 1) return 0; - - auto pins = get_pins_1D(circuit, pl, net_ind); - auto minmaxX = std::minmax_element(pins.x.begin(), pins.x.end()), minmaxY = std::minmax_element(pins.y.begin(), pins.y.end()); - return ((minmaxX.second->pos - minmaxX.first->pos) + (minmaxY.second->pos - minmaxY.first->pos)); -} - -std::int64_t get_RSMT_length(netlist const & circuit, placement_t const & pl, index_t net_ind){ - if(circuit.get_net(net_ind).pin_cnt <= 1) return 0; - auto pins = get_pins_2D(circuit, pl, net_ind); - std::vector > points; - for(pin_2D const p : pins){ - points.push_back(p.pos); - } - return RSMT_length(points, 8); -} - -namespace gp{ - -void add_force(pin_1D const p1, pin_1D const p2, linear_system & L, float_t force){ - if(p1.movable && p2.movable){ - L.add_force( - force, - p1.cell_ind, p2.cell_ind, - p1.offs, p2.offs - ); - } - else if(p1.movable){ - L.add_fixed_force( - force, - p1.cell_ind, - p2.pos, - p1.offs - ); - } - else if(p2.movable){ - L.add_fixed_force( - force, - p2.cell_ind, - p1.pos, - p2.offs - ); - } -} - -void add_force(pin_1D const p1, pin_1D const p2, linear_system & L, float_t tol, float_t scale){ - add_force(p1, p2, L, scale/std::max(tol, static_cast(std::abs((float)(p2.pos-p1.pos))))); -} - -point empty_linear_systems(netlist const & circuit, placement_t const & pl){ - point ret = point(linear_system(circuit.cell_cnt()), linear_system(circuit.cell_cnt())); - - for(index_t i=0; i 1){ - found_true_net = true; - break; - } - } - - if( (XMovable & circuit.get_cell(i).attributes) == 0 or not found_true_net){ - ret.x.add_triplet(i, i, 1.0f); - ret.x.add_doublet(i, pl.positions_[i].x); - } - if( (YMovable & circuit.get_cell(i).attributes) == 0 or not found_true_net){ - ret.y.add_triplet(i, i, 1.0f); - ret.y.add_doublet(i, pl.positions_[i].y); - } - } - - return ret; -} - -namespace{ // Anonymous namespace for helper functions - -void get_HPWLF(std::vector const & pins, linear_system & L, float_t tol){ - if(pins.size() >= 2){ - auto min_elt = std::min_element(pins.begin(), pins.end()), max_elt = std::max_element(pins.begin(), pins.end()); - - for(auto it = pins.begin(); it != pins.end(); ++it){ - // Just comparing the iterator is poorer due to redundancies in the benchmarks! - if(it != min_elt){ - add_force(*it, *min_elt, L, tol, 1.0f/(pins.size()-1)); - if(it != max_elt){ // Hopefully only one connexion between the min and max pins - add_force(*it, *max_elt, L, tol, 1.0f/(pins.size()-1)); - } - } - } - } -} - -void get_HPWLR(std::vector const & pins, linear_system & L, float_t tol){ - std::vector sorted_pins = pins; - std::sort(sorted_pins.begin(), sorted_pins.end()); - // Pins are connected to the pin two places away - for(index_t i=0; i+2 1){ - add_force(sorted_pins[0], sorted_pins[1], L, tol, 0.5f); - add_force(sorted_pins[sorted_pins.size()-1], sorted_pins[sorted_pins.size()-2], L, tol, 0.5f); - } -} - -void get_star(std::vector const & pins, linear_system & L, float_t tol, index_t star_index){ - // The net is empty, but we still populate the diagonal to avoid divide by zeros - if(pins.size() < 2){ - L.add_triplet(star_index, star_index, 1.0f); - return; - } - - for(pin_1D p : pins){ - pin_1D star_pin = pin_1D(star_index, 0, 0, true); - add_force(p, star_pin, L, 1.0/pins.size()); - } -} - -void get_clique(std::vector const & pins, linear_system & L, float_t tol){ - // Pins are connected to the pin two places away - for(index_t i=0; i+1 get_HPWLF_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s){ - point L = empty_linear_systems(circuit, pl); - for(index_t i=0; i= max_s) continue; - - auto pins = get_pins_1D(circuit, pl, i); - get_HPWLF(pins.x, L.x, tol); - get_HPWLF(pins.y, L.y, tol); - } - return L; -} - -point get_HPWLR_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s){ - point L = empty_linear_systems(circuit, pl); - for(index_t i=0; i= max_s) continue; - - auto pins = get_pins_1D(circuit, pl, i); - get_HPWLR(pins.x, L.x, tol); - get_HPWLR(pins.y, L.y, tol); - } - return L; -} - -point get_star_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s){ - point L = empty_linear_systems(circuit, pl); - L.x.add_variables(circuit.net_cnt()); - L.y.add_variables(circuit.net_cnt()); - for(index_t i=0; i= max_s){ - // Put a one in the intermediate variable in order to avoid non-invertible matrices - L.x.add_triplet(i+circuit.cell_cnt(), i+circuit.cell_cnt(), 1.0f); - L.y.add_triplet(i+circuit.cell_cnt(), i+circuit.cell_cnt(), 1.0f); - continue; - } - - auto pins = get_pins_1D(circuit, pl, i); - // Provide the index of the star's central pin in the linear system - get_star(pins.x, L.x, tol, i+circuit.cell_cnt()); - get_star(pins.y, L.y, tol, i+circuit.cell_cnt()); - } - return L; -} - -point get_clique_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s){ - point L = empty_linear_systems(circuit, pl); - for(index_t i=0; i= max_s) continue; - - auto pins = get_pins_1D(circuit, pl, i); - get_clique(pins.x, L.x, tol); - get_clique(pins.y, L.y, tol); - } - return L; -} - -point get_MST_linear_system(netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s){ - point L = empty_linear_systems(circuit, pl); - for(index_t i=0; i= max_s or pin_cnt <= 1) continue; - - auto pins = get_pins_2D(circuit, pl, i); - std::vector > points; - for(pin_2D const p : pins){ - points.push_back(p.pos); - } - auto const edges = get_MST_topology(points); - for(auto E : edges){ - add_force(pins[E.first].x(), pins[E.second].x(), L.x, tol, 1.0f); - add_force(pins[E.first].y(), pins[E.second].y(), L.y, tol, 1.0f); - } - } - return L; -} - -point get_RSMT_linear_system(netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s){ - point L = empty_linear_systems(circuit, pl); - for(index_t i=0; i= max_s or pin_cnt <= 1) continue; - - auto pins = get_pins_2D(circuit, pl, i); - std::vector > points; - for(pin_2D const p : pins){ - points.push_back(p.pos); - } - auto const edges = get_RSMT_topology(points, 8); - for(auto E : edges.x){ - add_force(pins[E.first].x(), pins[E.second].x(), L.x, tol, 1.0f); - } - for(auto E : edges.y){ - add_force(pins[E.first].y(), pins[E.second].y(), L.y, tol, 1.0f); - } - } - return L; -} - - -std::int64_t get_HPWL_wirelength(netlist const & circuit, placement_t const & pl){ - std::int64_t sum = 0; - for(index_t i=0; i > points; - for(pin_2D const p : pins){ - points.push_back(p.pos); - } - sum += MST_length(points); - } - return sum; -} - -std::int64_t get_RSMT_wirelength(netlist const & circuit, placement_t const & pl){ - std::int64_t sum = 0; - for(index_t i=0; i & L, index_t nbr_iter){ - std::vector x_sol, y_sol; - std::vector x_guess(pl.cell_cnt()), y_guess(pl.cell_cnt()); - - assert(L.x.internal_size() == x_guess.size()); - assert(L.y.internal_size() == y_guess.size()); - - for(index_t i=0; i(pl.positions_[i].x); - y_guess[i] = static_cast(pl.positions_[i].y); - } - #pragma omp parallel sections num_threads(2) - { - #pragma omp section - x_sol = L.x.solve_CG(x_guess, nbr_iter); - #pragma omp section - y_sol = L.y.solve_CG(y_guess, nbr_iter); - } - for(index_t i=0; i(x_sol[i]); - } - if( (circuit.get_cell(i).attributes & YMovable) != 0){ - assert(std::isfinite(y_sol[i])); - pl.positions_[i].y = static_cast(y_sol[i]); - } - } -} - -// Intended to be used by pulling forces to adapt the forces to the cell's areas -std::vector get_area_scales(netlist const & circuit){ - std::vector ret(circuit.cell_cnt()); - capacity_t int_tot_area = 0; - for(index_t i=0; i(A); - int_tot_area += A; - } - float_t inv_average_area = circuit.cell_cnt() / static_cast(int_tot_area); - for(index_t i=0; i get_pulling_forces (netlist const & circuit, placement_t const & pl, float_t typical_distance){ - point L = empty_linear_systems(circuit, pl); - float_t typical_force = 1.0f / typical_distance; - std::vector scaling = get_area_scales(circuit); - for(index_t i=0; i get_linear_pulling_forces (netlist const & circuit, placement_t const & UB_pl, placement_t const & LB_pl, float_t force, float_t min_distance){ - point L = empty_linear_systems(circuit, UB_pl); - assert(LB_pl.cell_cnt() == UB_pl.cell_cnt()); - std::vector scaling = get_area_scales(circuit); - for(index_t i=0; i(std::abs((float)(UB_pl.positions_[i].x - LB_pl.positions_[i].x))), min_distance)), - i, UB_pl.positions_[i].x - ); - L.y.add_anchor( - force * scaling[i] / (std::max(static_cast(std::abs((float)(UB_pl.positions_[i].y - LB_pl.positions_[i].y))), min_distance)), - i, UB_pl.positions_[i].y - ); - } - - - return L; -} - -region_distribution get_rough_legalizer(netlist const & circuit, placement_t const & pl, box surface){ - return region_distribution::uniform_density_distribution(surface, circuit, pl); -} - -void get_rough_legalization(netlist const & circuit, placement_t & pl, region_distribution const & legalizer){ - auto exportation = legalizer.export_spread_positions_linear(); - for(auto const C : exportation){ - pl.positions_[C.index_in_placement_] = static_cast >(C.pos_ - 0.5f * static_cast >(circuit.get_cell(C.index_in_placement_).size)); - } -} - -float_t get_mean_linear_disruption(netlist const & circuit, placement_t const & LB_pl, placement_t const & UB_pl){ - float_t tot_cost = 0.0; - float_t tot_area = 0.0; - for(index_t i=0; i(circuit.get_cell(i).area); - point diff = LB_pl.positions_[i] - UB_pl.positions_[i]; - - if( (circuit.get_cell(i).attributes & XMovable) == 0) assert(diff.x == 0); - if( (circuit.get_cell(i).attributes & YMovable) == 0) assert(diff.y == 0); - - tot_cost += area * (std::abs((float)diff.x) + std::abs((float)diff.y)); - tot_area += area; - } - return tot_cost / tot_area; -} - -float_t get_mean_quadratic_disruption(netlist const & circuit, placement_t const & LB_pl, placement_t const & UB_pl){ - float_t tot_cost = 0.0; - float_t tot_area = 0.0; - for(index_t i=0; i(circuit.get_cell(i).area); - point diff = LB_pl.positions_[i] - UB_pl.positions_[i]; - - if( (circuit.get_cell(i).attributes & XMovable) == 0) assert(diff.x == 0); - if( (circuit.get_cell(i).attributes & YMovable) == 0) assert(diff.y == 0); - - float_t manhattan = (std::abs((float)diff.x) + std::abs((float)diff.y)); - tot_cost += area * manhattan * manhattan; - tot_area += area; - } - return std::sqrt(tot_cost / tot_area); -} - -} // namespace gp -} // namespace coloquinte - - diff --git a/coloquinte/src/coloquinte/circuit.hxx b/coloquinte/src/coloquinte/circuit.hxx deleted file mode 100644 index 4ce1c781..00000000 --- a/coloquinte/src/coloquinte/circuit.hxx +++ /dev/null @@ -1,59 +0,0 @@ - -#ifndef COLOQUINTE_GP_CIRCUIT -#define COLOQUINTE_GP_CIRCUIT - -#include "common.hxx" -#include "solvers.hxx" -#include "netlist.hxx" -#include "rough_legalizers.hxx" - -#include -#include - -namespace coloquinte{ - -void verify_placement_legality(netlist const & circuit, placement_t const & pl, box surface); - -namespace gp{ - -point empty_linear_systems(netlist const & circuit, placement_t const & pl); - -// Net models stuff -point get_HPWLF_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s); -point get_HPWLR_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s); -point get_star_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s); -point get_clique_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s); -point get_MST_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s); -point get_RSMT_linear_system (netlist const & circuit, placement_t const & pl, float_t tol, index_t min_s, index_t max_s); - -// Additional forces -point get_pulling_forces (netlist const & circuit, placement_t const & pl, float_t typical_distance); -point get_linear_pulling_forces (netlist const & circuit, placement_t const & UB_pl, placement_t const & LB_pl, float_t force, float_t min_distance); - -// Solve the final linear system -void solve_linear_system(netlist const & circuit, placement_t & pl, point & L, index_t nbr_iter); - -// Cost-related stuff, whether wirelength or disruption -std::int64_t get_HPWL_wirelength (netlist const & circuit, placement_t const & pl); -std::int64_t get_MST_wirelength (netlist const & circuit, placement_t const & pl); -std::int64_t get_RSMT_wirelength (netlist const & circuit, placement_t const & pl); - -float_t get_mean_linear_disruption(netlist const & circuit, placement_t const & LB_pl, placement_t const & UB_pl); -float_t get_mean_quadratic_disruption(netlist const & circuit, placement_t const & LB_pl, placement_t const & UB_pl); - -// Legalizer-related stuff -region_distribution get_rough_legalizer(netlist const & circuit, placement_t const & pl, box surface); -void get_rough_legalization(netlist const & circuit, placement_t & pl, region_distribution const & legalizer); - -// Cell orientation optimization -void optimize_x_orientations(netlist const & circuit, placement_t & pl); -void optimize_y_orientations(netlist const & circuit, placement_t & pl); -void optimize_exact_orientations(netlist const & circuit, placement_t & pl); -//void spread_orientations(netlist const & circuit, placement_t & pl); - - -} // namespace gp -} // namespace coloquinte - -#endif - diff --git a/coloquinte/src/coloquinte/circuit_helper.hxx b/coloquinte/src/coloquinte/circuit_helper.hxx deleted file mode 100644 index 5509052b..00000000 --- a/coloquinte/src/coloquinte/circuit_helper.hxx +++ /dev/null @@ -1,92 +0,0 @@ - -#ifndef COLOQUINTE_GP_HELPERCIRCUIT -#define COLOQUINTE_GP_HELPERCIRCUIT - -#include "common.hxx" -#include "netlist.hxx" -#include - -namespace coloquinte{ - -struct pin_1D{ - index_t cell_ind; - int_t pos; - int_t offs; - bool movable; - - bool operator<(pin_1D const o) const { return pos < o.pos; } - - pin_1D(index_t c, int_t p, int_t o, bool m) : cell_ind(c), pos(p), offs(o), movable(m){} -}; -struct pin_2D{ - index_t cell_ind; - point pos; - point offs; - bool movable; - - pin_2D(index_t c, point p, point o, bool m) : cell_ind(c), pos(p), offs(o), movable(m){} - pin_1D x() const{ return pin_1D(cell_ind, pos.x, offs.x, movable); } - pin_1D y() const{ return pin_1D(cell_ind, pos.y, offs.y, movable); } -}; - -inline int_t dist(pin_2D const a, pin_2D const b){ - point diff = a.pos - b.pos; - return std::abs((float)diff.x) + std::abs((float)diff.y); -} - -inline std::vector get_pins_2D(netlist const & circuit, placement_t const & pl, index_t net_ind){ - std::vector ret; - for(auto p : circuit.get_net(net_ind)){ - assert(std::isfinite(pl.positions_[p.cell_ind].x) and std::isfinite(pl.positions_[p.cell_ind].y)); - assert(std::isfinite(pl.orientations_[p.cell_ind].x) and std::isfinite(pl.orientations_[p.cell_ind].y)); - - point offs; - offs.x = pl.orientations_[p.cell_ind].x ? p.offset.x : circuit.get_cell(p.cell_ind).size.x - p.offset.x; - offs.y = pl.orientations_[p.cell_ind].y ? p.offset.y : circuit.get_cell(p.cell_ind).size.y - p.offset.y; - point pos = offs + pl.positions_[p.cell_ind]; - - assert(std::isfinite(offs.x) and std::isfinite(offs.y)); - assert(std::isfinite(pos.x) and std::isfinite(pos.y)); - - bool movable = (circuit.get_cell(p.cell_ind).attributes & XMovable) != 0 and (circuit.get_cell(p.cell_ind).attributes & YMovable) != 0; - ret.push_back(pin_2D(p.cell_ind, pos, offs, movable)); - } - return ret; -} - -inline point > get_pins_1D(netlist const & circuit, placement_t const & pl, index_t net_ind){ - point > ret; - for(auto p : circuit.get_net(net_ind)){ - assert(std::isfinite(pl.positions_[p.cell_ind].x) and std::isfinite(pl.positions_[p.cell_ind].y)); - assert(std::isfinite(pl.orientations_[p.cell_ind].x) and std::isfinite(pl.orientations_[p.cell_ind].y)); - - point offs; - offs.x = pl.orientations_[p.cell_ind].x ? p.offset.x : circuit.get_cell(p.cell_ind).size.x - p.offset.x; - offs.y = pl.orientations_[p.cell_ind].y ? p.offset.y : circuit.get_cell(p.cell_ind).size.y - p.offset.y; - point pos = offs + pl.positions_[p.cell_ind]; - - assert(std::isfinite(offs.x) and std::isfinite(offs.y)); - assert(std::isfinite(pos.x) and std::isfinite(pos.y)); - - bool x_movable = (circuit.get_cell(p.cell_ind).attributes & XMovable) != 0; - bool y_movable = (circuit.get_cell(p.cell_ind).attributes & YMovable) != 0; - - ret.x.push_back(pin_1D(p.cell_ind, pos.x, offs.x, x_movable)); - ret.y.push_back(pin_1D(p.cell_ind, pos.y, offs.y, y_movable)); - } - return ret; -} - -std::int64_t MST_length(std::vector > const & pins); -std::int64_t RSMT_length(std::vector > const & pins, index_t exactitude_limit); -std::int64_t get_HPWL_length(netlist const & circuit, placement_t const & pl, index_t net_ind); -std::int64_t get_RSMT_length(netlist const & circuit, placement_t const & pl, index_t net_ind); - -std::vector > get_MST_topology(std::vector > const & pins); -std::vector > get_RSMT_horizontal_topology(std::vector > const & pins, index_t exactitude_limits); -point > > get_RSMT_topology(std::vector > const & pins, index_t exactitude_limit); - -} // namespace coloquinte - -#endif - diff --git a/coloquinte/src/coloquinte/common.hxx b/coloquinte/src/coloquinte/common.hxx deleted file mode 100644 index b31be557..00000000 --- a/coloquinte/src/coloquinte/common.hxx +++ /dev/null @@ -1,118 +0,0 @@ - -#ifndef COLOQUINTE_GP_COMMON -#define COLOQUINTE_GP_COMMON - -#include -#include - -namespace coloquinte{ - -using float_t = float; -using int_t = std::int32_t; -using index_t = std::uint32_t; -using capacity_t = std::int64_t; -using mask_t = std::uint32_t; - -using ext_object = std::uint64_t; - -enum PlacementType{ - Optimist = 0, - Pessimist = 1 -}; - -enum Movability{ - XMovable = 1 , - YMovable = 1 << 1, - XFlippable = 1 << 2, - YFlippable = 1 << 3, - SoftMacro = 1 << 4 -}; - -template -struct point{ - T x, y; - point(){} - point(T x, T y): x(x), y(y){} - - template - operator point() const{ - return point(static_cast(x), static_cast(y)); - } - - void operator+=(point const o){ - x += o.x; - y += o.y; - } -}; - -template -point operator+(point const a, point const b){ - return point(a.x+b.x, a.y+b.y); -} -template -point operator-(point const a, point const b){ - return point(a.x-b.x, a.y-b.y); -} -template -point operator*(T lambda, point const p){ - return point(lambda * p.x, lambda * p.y); -} -template -point operator*(point const a, point const b){ - return point(a.x*b.x, a.y*b.y); -} - -template -struct box{ - T x_min, x_max, y_min, y_max; - box(){} - box(T x_mn, T x_mx, T y_mn, T y_mx) : x_min(x_mn), x_max(x_mx), y_min(y_mn), y_max(y_mx){} - box(point mn, point mx) : x_min(mn.x), x_max(mx.x), y_min(mn.y), y_max(mx.y){} - - bool in(box const o) const{ - return x_max <= o.x_max - && y_max <= o.y_max - && x_min >= o.x_min - && y_min >= o.y_min; - } - bool intersects(box const o) const{ - return x_min < o.x_max - && y_min < o.y_max - && o.x_min < x_max - && o.y_min < y_max; - } - box intersection(box const o) const{ - return box( - std::max(x_min, o.x_min), - std::min(x_max, o.x_max), - std::max(y_min, o.y_min), - std::min(y_max, o.y_max) - ); - } - box bounding_box(box const o) const{ - return box( - std::min(x_min, o.x_min), - std::max(x_max, o.x_max), - std::min(y_min, o.y_min), - std::max(y_max, o.y_max) - ); - } - point dimensions() const{ - return point(x_max-x_min, y_max-y_min); - } - bool empty() const{ - return dimensions().x <= 0 or dimensions().y <= 0; - } - - template - operator box() const{ - return box(static_cast(x_min), static_cast(x_max), static_cast(y_min), static_cast(y_max)); - } -}; - -using orientation_t = point; - -} // Namespace coloquinte - -#endif - diff --git a/coloquinte/src/coloquinte/detailed.hxx b/coloquinte/src/coloquinte/detailed.hxx deleted file mode 100644 index 9537b632..00000000 --- a/coloquinte/src/coloquinte/detailed.hxx +++ /dev/null @@ -1,89 +0,0 @@ - -#ifndef COLOQUINTE_DETAILED -#define COLOQUINTE_DETAILED - -#include "common.hxx" -#include "netlist.hxx" - -#include -#include - -namespace coloquinte{ -namespace dp{ - -const index_t null_ind = std::numeric_limits::max(); - -struct detailed_placement{ - // All position and orientation stuff - placement_t plt_; - - std::vector cell_rows_; - - // The placement region - int_t min_x_, max_x_; - int_t y_origin_; - int_t row_height_; - - // Encode the topological state of the circuit: which cells are near each other - // Makes extracting part of the circuit or optimizing positions at fixed topology easy - std::vector > neighbours_; // The cells before and after on each row; cells spanning multiple columns use several positions - // In order to get the neighbours in the detailed placement - std::vector neighbours_limits_; - - std::vector row_first_cells_, row_last_cells_; // For each row, which cells are the on the boundaries - - // Tests the coherency between positions, widths and topological representation - void selfcheck() const; - - detailed_placement( - placement_t pl, - std::vector placement_rows, - std::vector cell_heights, - std::vector > rows, - int_t min_x, int_t max_x, - int_t y_origin, - index_t nbr_rows, int_t row_height - ); - - index_t cell_height(index_t c) const{ return neighbours_limits_[c+1] - neighbours_limits_[c]; } - index_t cell_cnt() const{ return cell_rows_.size(); } - index_t row_cnt() const{ return row_first_cells_.size(); } - index_t neighbour_index(index_t c, index_t r) const{ - assert(r - cell_rows_[c] < cell_height(c)); - return neighbours_limits_[c] + r - cell_rows_[c]; - } - - void swap_standard_cell_topologies(index_t c1, index_t c2); - std::pair get_limit_positions(netlist const & circuit, index_t c) const; - - index_t get_first_cell_on_row(index_t r); - index_t get_next_cell_on_row(index_t c, index_t r); - index_t get_prev_cell_on_row(index_t c, index_t r); - - index_t get_first_standard_cell_on_row(index_t r); - index_t get_next_standard_cell_on_row(index_t c, index_t r); - - void reorder_standard_cells(std::vector const old_order, std::vector const new_order); - void reorder_cells(std::vector const old_order, std::vector const new_order, index_t row); -}; - -void swaps_global_HPWL(netlist const & circuit, detailed_placement & pl, index_t row_extent, index_t cell_extent, bool try_flip = false); -void swaps_global_RSMT(netlist const & circuit, detailed_placement & pl, index_t row_extent, index_t cell_extent, bool try_flip = false); - -void swaps_row_convex_HPWL(netlist const & circuit, detailed_placement & pl, index_t range); -void swaps_row_convex_RSMT(netlist const & circuit, detailed_placement & pl, index_t range); -void swaps_row_noncvx_HPWL(netlist const & circuit, detailed_placement & pl, index_t range); -void swaps_row_noncvx_RSMT(netlist const & circuit, detailed_placement & pl, index_t range); - -void OSRP_convex_HPWL(netlist const & circuit, detailed_placement & pl); -void OSRP_convex_RSMT(netlist const & circuit, detailed_placement & pl); -void OSRP_noncvx_HPWL(netlist const & circuit, detailed_placement & pl); -void OSRP_noncvx_RSMT(netlist const & circuit, detailed_placement & pl); - -void row_compatible_orientation(netlist const & circuit, detailed_placement & pl, bool first_row_orient); - -} // namespace dp -} // namespace coloquinte - -#endif - diff --git a/coloquinte/src/coloquinte/legalizer.hxx b/coloquinte/src/coloquinte/legalizer.hxx deleted file mode 100644 index d0848836..00000000 --- a/coloquinte/src/coloquinte/legalizer.hxx +++ /dev/null @@ -1,12 +0,0 @@ - -#include "circuit.hxx" -#include "detailed.hxx" - -namespace coloquinte{ -namespace dp{ - -detailed_placement legalize(netlist const & circuit, placement_t const & pl, box surface, int_t row_height); -void get_result(netlist const & circuit, detailed_placement const & dpl, placement_t & pl); - -} // namespace dp -} // namespace coloquinte diff --git a/coloquinte/src/coloquinte/netlist.hxx b/coloquinte/src/coloquinte/netlist.hxx deleted file mode 100644 index cf030ad4..00000000 --- a/coloquinte/src/coloquinte/netlist.hxx +++ /dev/null @@ -1,251 +0,0 @@ - -#ifndef COLOQUINTE_NETLIST -#define COLOQUINTE_NETLIST - -#include "common.hxx" -#include -#include - - -namespace coloquinte{ - -// Structures for construction and circuit_loader -struct temporary_pin{ - point offset; - index_t cell_ind, net_ind; - temporary_pin(){} - temporary_pin(point offs, index_t c, index_t n) : offset(offs), cell_ind(c), net_ind(n){} -}; - -struct temporary_cell{ - point size; - capacity_t area; - mask_t attributes; - index_t list_index; - - temporary_cell(){} - temporary_cell(point s, mask_t attr, index_t ind) : size(s), attributes(attr), list_index(ind){ area = static_cast(s.x) * static_cast(s.y);} -}; - -struct temporary_net{ - int_t weight; - index_t list_index; - temporary_net(){} - temporary_net(index_t ind, int_t wght) : weight(wght), list_index(ind){} -}; - - -// Main class -class netlist{ - std::vector net_weights_; - - std::vector cell_areas_; - std::vector > cell_sizes_; - std::vector cell_attributes_; - - // Mapping of the order given at construction time to the internal representation - std::vector cell_internal_mapping_; - std::vector net_internal_mapping_; - - // Optimized sparse storage for nets - std::vector net_limits_; - std::vector cell_indexes_; - std::vector > pin_offsets_; - - // Sparse storage from cell to net appartenance - std::vector cell_limits_; - std::vector net_indexes_; - std::vector pin_indexes_; - - public: - netlist(std::vector cells, std::vector nets, std::vector all_pins); - netlist(){} - - void selfcheck() const; - - struct pin_t{ - point offset; - index_t cell_ind, net_ind; - pin_t(point offs, index_t c, index_t n) : offset(offs), cell_ind(c), net_ind(n){} - }; - - class net_pin_iterator{ - index_t pin_ind, net_ind; - netlist const & N; - - public: - pin_t operator*() const{ - return pin_t(N.pin_offsets_[pin_ind], N.cell_indexes_[pin_ind], net_ind); - } - net_pin_iterator & operator++(){ - pin_ind++; - return *this; - } - bool operator!=(net_pin_iterator const o) const{ - return pin_ind != o.pin_ind; - } - - net_pin_iterator(index_t net_index, index_t pin_index, netlist const & orig) : pin_ind(pin_index), net_ind(net_index), N(orig){} - }; - - class cell_pin_iterator{ - index_t pin_ind, cell_ind; - netlist const & N; - - public: - pin_t operator*() const{ - return pin_t(N.pin_offsets_[N.pin_indexes_[pin_ind]], cell_ind, N.net_indexes_[pin_ind]); - } - cell_pin_iterator & operator++(){ - pin_ind++; - return *this; - } - bool operator!=(cell_pin_iterator const o) const{ - return pin_ind != o.pin_ind; - } - - cell_pin_iterator(index_t cell_index, index_t pin_index, netlist const & orig) : pin_ind(pin_index), cell_ind(cell_index), N(orig){} - }; - - struct internal_cell{ - point size; - capacity_t area; - mask_t attributes; - netlist const & N; - index_t index; - index_t pin_cnt; - - internal_cell(index_t ind, netlist const & orig) : - size(orig.cell_sizes_[ind]), - area(orig.cell_areas_[ind]), - attributes(orig.cell_attributes_[ind]), - N(orig), - index(ind), - pin_cnt(N.cell_limits_[ind+1] - N.cell_limits_[ind]) - {} - - cell_pin_iterator begin(){ return cell_pin_iterator(index, N.cell_limits_[index], N); } - cell_pin_iterator end(){ return cell_pin_iterator(index, N.cell_limits_[index+1], N); } - }; - - struct internal_net{ - int_t weight; - netlist const & N; - index_t index; - index_t pin_cnt; - - internal_net(index_t ind, netlist const & orig) : - weight(orig.net_weights_[ind]), - N(orig), - index(ind), - pin_cnt(N.net_limits_[ind+1] - N.net_limits_[ind]) - {} - - net_pin_iterator begin(){ return net_pin_iterator(index, N.net_limits_[index], N); } - net_pin_iterator end(){ return net_pin_iterator(index, N.net_limits_[index+1], N); } - }; - - internal_cell get_cell(index_t ind) const{ - return internal_cell(ind, *this); - } - internal_net get_net(index_t ind) const{ - return internal_net(ind, *this); - } - - index_t cell_cnt() const{ return cell_internal_mapping_.size(); } - index_t net_cnt() const{ return net_internal_mapping_.size(); } - index_t pin_cnt() const{ return pin_offsets_.size(); } - - index_t get_cell_ind(index_t external_ind) const{ return cell_internal_mapping_[external_ind]; } - index_t get_net_ind(index_t external_ind) const{ return net_internal_mapping_[external_ind]; } - - point get_cell_size(index_t external_ind){ - return cell_sizes_[ cell_internal_mapping_[external_ind] ]; - } - - void set_cell_size(index_t external_ind,point cell_size){ - cell_sizes_[cell_internal_mapping_[external_ind]] = cell_size; - } -}; - -inline netlist::netlist(std::vector cells, std::vector nets, std::vector all_pins){ - struct extended_pin : public temporary_pin{ - index_t pin_index; - extended_pin(temporary_pin const p) : temporary_pin(p){} - }; - std::vector pins; - for(temporary_pin const p : all_pins){ - pins.push_back(extended_pin(p)); - } - - cell_limits_.resize(cells.size()+1); - net_limits_.resize(nets.size()+1); - - net_weights_.resize(nets.size()); - - cell_areas_.resize(cells.size()); - cell_sizes_.resize(cells.size()); - cell_attributes_.resize(cells.size()); - - cell_internal_mapping_.resize(cells.size()); - net_internal_mapping_.resize(nets.size()); - - cell_indexes_.resize(pins.size()); - pin_offsets_.resize(pins.size()); - net_indexes_.resize(pins.size()); - pin_indexes_.resize(pins.size()); - - for(index_t i=0; i > positions_; - std::vector > orientations_; - - index_t cell_cnt() const{ - assert(positions_.size() == orientations_.size()); - return positions_.size(); - } - - void selfcheck() const; -}; - -} // namespace coloquinte - -#endif - diff --git a/coloquinte/src/coloquinte/optimization_subproblems.hxx b/coloquinte/src/coloquinte/optimization_subproblems.hxx deleted file mode 100644 index 3ccbdfcc..00000000 --- a/coloquinte/src/coloquinte/optimization_subproblems.hxx +++ /dev/null @@ -1,161 +0,0 @@ - -#ifndef COLOQUINTE_GP_OPTSUBPROBLEMS -#define COLOQUINTE_GP_OPTSUBPROBLEMS - -#include "common.hxx" - -#include -#include -#include -#include -#include -#include - -namespace coloquinte{ - -typedef std::pair t1D_elt; - -std::vector transport_1D(std::vector sources, std::vector sinks); -std::vector > transport_convex(std::vector const & capacities, std::vector const & demands, std::vector > const & costs); -std::vector > transport_generic(std::vector const & capacities, std::vector const & demands, std::vector > const & costs); - -template -struct legalizable_task{ - T width; - T target_pos; - index_t ind; - legalizable_task(T w, T p, index_t i) : width(w), target_pos(p), ind(i){} - bool operator<(legalizable_task const o) const{ return target_pos < o.target_pos; } -}; - -// A class to obtain the optimal positions minimizing total weighted displacement along a row -// It is an ordered single row problem/fixed order single machine scheduling problem, solved by the clumping/specialized cascading descent algorithm -// The cost is linear in the distance to the target position, weighted by the width of the cells -template -class OSRP_leg{ - struct OSRP_bound{ - T absolute_pos; // Will be the target absolute position of the cell - T weight; // Will be the width of the cell - - bool operator<(OSRP_bound const o) const{ return absolute_pos < o.absolute_pos; } - OSRP_bound(T w, T abs_pos) : absolute_pos(abs_pos), weight(w) {} - }; - - T begin, end; - - std::vector cells; // The indexes in the circuit - std::vector constraining_pos; // Where the cells have been pushed and constrain the positions of preceding cells - std::vector prev_width; // Cumulative width of the cells: calculates the absolute position of new cells - - std::priority_queue bounds; - - // Get the cost of pushing a cell on the row - T get_displacement(legalizable_task const newly_pushed, bool update); - - public: - T current_width() const{ return prev_width.back(); } - T remaining_space() const{ return end - begin - current_width(); } - T last_available_pos() const{ return constraining_pos.back() + current_width(); } - - T get_cost(legalizable_task const task){ return get_displacement(task, false); } - void push(legalizable_task const task){ get_displacement(task, true); } - - // Initialize - OSRP_leg(T b, T e) : begin(b), end(e), prev_width(1, 0) {} - OSRP_leg(){} - - typedef std::pair result_t; - - // Get the resulting placement - std::vector get_placement() const; -}; - -struct cell_bound{ - index_t c; - int_t pos; - int_t slope; - bool operator<(cell_bound const o) const{ return c < o.c; } - cell_bound(index_t order, int_t p, int_t s) : c(order), pos(p), slope(s) {} -}; - -bool place_convex_single_row(std::vector const & widths, std::vector > const & ranges, std::vector bounds, std::vector const & const_slopes, std::vector & positions); -bool place_noncvx_single_row(std::vector const & widths, std::vector > const & ranges, std::vector const & flippables, std::vector bounds, std::vector const & const_slopes, std::vector & positions, std::vector & flippings); - -template -inline T OSRP_leg::get_displacement(legalizable_task const newly_pushed, bool update){ - T target_abs_pos = newly_pushed.target_pos - current_width(); - T width = newly_pushed.width; - T slope = - width; - - T cur_pos = end; - T cur_cost = 0; - - std::vector passed_bounds; - - while( not bounds.empty() and - ((slope < 0 and bounds.top().absolute_pos > target_abs_pos) // Not reached equilibrium - or bounds.top().absolute_pos > end - current_width() - width) // Still not a legal position - ){ - T old_pos = cur_pos; - cur_pos = bounds.top().absolute_pos; - cur_cost += (old_pos - cur_pos) * (slope + width); // The additional cost for the other cells encountered - slope += bounds.top().weight; - - // Remember which bounds we encountered in order to reset the object to its initial state - if(not update) - passed_bounds.push_back(bounds.top()); - bounds.pop(); - } - - T final_abs_pos = std::min(end - current_width() - width, // Always before the end and after the beginning - std::max(begin, slope >= 0 ? cur_pos : target_abs_pos) // but did we stop before reaching the target position? - ); - - cur_cost += (cur_pos - final_abs_pos) * (slope + width); // The additional cost for the other cells encountered - - if(std::numeric_limits::is_integer){ - assert(final_abs_pos >= begin); - assert(final_abs_pos <= end - current_width() - width); - } - - if(update){ - prev_width.push_back(width + current_width()); - cells.push_back(newly_pushed.ind); - constraining_pos.push_back(final_abs_pos); - if(slope > 0){ // Remaining capacity of an encountered bound - bounds.push(OSRP_bound(slope, cur_pos)); - } - // The new bound, minus what it absorbs of the remaining slope - if(target_abs_pos > begin){ - bounds.push(OSRP_bound(2*width + std::min(slope, static_cast(0) ), target_abs_pos)); - } - } - else{ - for(OSRP_bound b : passed_bounds){ - bounds.push(b); - } - } - - return cur_cost + width * std::abs((float)(final_abs_pos - target_abs_pos)); // Add the cost of the new cell -} - -template -inline std::vector > OSRP_leg::get_placement() const{ - auto final_abs_pos = constraining_pos; - std::partial_sum(final_abs_pos.rbegin(), final_abs_pos.rend(), final_abs_pos.rbegin(), [](T a, T b)->T{ return std::min(a,b); }); - - std::vector ret(cells.size()); - for(index_t i=0; i::is_integer){ - assert(final_abs_pos[i] >= begin); - assert(final_abs_pos[i] + prev_width[i+1] <= end); - } - } - return ret; -} - -} -#endif - diff --git a/coloquinte/src/coloquinte/piecewise_linear.hxx b/coloquinte/src/coloquinte/piecewise_linear.hxx deleted file mode 100644 index a71e84de..00000000 --- a/coloquinte/src/coloquinte/piecewise_linear.hxx +++ /dev/null @@ -1,29 +0,0 @@ - - -#include "common.hxx" - -#include - -namespace coloquinte{ - -typedef std::pair p_v; - -struct piecewise_linear_function{ - std::vector point_values; - - static piecewise_linear_function minimum(piecewise_linear_function const & a, piecewise_linear_function const & b); - piecewise_linear_function previous_min_of_sum(piecewise_linear_function const & o, int_t added_cell_width) const; - piecewise_linear_function previous_min() const; - - int_t value_at(int_t pos) const; - int_t last_before(int_t pos) const; - - void add_monotone(int_t slope, int_t offset); - void add_bislope(int_t s_l, int_t s_r, int_t pos); - - piecewise_linear_function(){} - piecewise_linear_function(int_t min_def, int_t max_def); -}; - -} // End namespace coloquinte - diff --git a/coloquinte/src/coloquinte/rough_legalizers.hxx b/coloquinte/src/coloquinte/rough_legalizers.hxx deleted file mode 100644 index 6e43387a..00000000 --- a/coloquinte/src/coloquinte/rough_legalizers.hxx +++ /dev/null @@ -1,263 +0,0 @@ - -#ifndef COLOQUINTE_GP_ROUGH_LEGALIZER -#define COLOQUINTE_GP_ROUGH_LEGALIZER - -#include "common.hxx" -#include "netlist.hxx" - -#include -#include -#include -#include - -/* - * A simple class to perform approximate legalization with extreme efficiency - * - * To be called during global placement or before an exact legalization - * - */ - -namespace coloquinte{ - -struct density_limit{ - box box_; - float_t density_; // from 0.0 for a macro to 1.0 if it does nothing -}; -typedef std::vector density_restrictions; - -namespace gp{ - -class region_distribution{ - /* - * Coordinates are mostly float but obstacles and areas are integers for correctness - */ - - public: - struct movable_cell{ - capacity_t demand_; // == area; No FP!!! - point pos_; // Target position, determining the cost to allocate it - // int_t x_size, y_size; // May split cells - index_t index_in_placement_; - - movable_cell(); - movable_cell(capacity_t demand, point p, index_t ind); - }; - - // Specifies a maximum density of movable cells per usable area - // Representing either a macroblock or a routing congestion - private: - - struct region; - - struct cell_ref{ - capacity_t allocated_capacity_; - point pos_; - index_t index_in_list_; - - cell_ref(){} - cell_ref(capacity_t demand, point p, index_t ind) : allocated_capacity_(demand), pos_(p), index_in_list_(ind){} - friend region; - }; - - struct region{ - public: - // Data members - capacity_t capacity_; // ==area; No floating point!!! - point pos_; - - std::vector cell_references_; - - // Constructors - region(){} // Necessary if we want to resize vectors - region(capacity_t cap, point pos, std::vector cells); - - // Helper functions for bipartitioning - private: - static void distribute_new_cells(region & a, region & b, std::vector cells); // Called by the other two to do the dirty work - public: - void distribute_cells(region & a, region & b) const; // Distribute the cells from one region to two - static void redistribute_cells(region & a, region & b); // Optimizes the distribution between two regions - - // Helper functions for multipartitioning - private: - static void distribute_new_cells(std::vector > regions, std::vector cells); - public: - void distribute_cells(std::vector > regions) const; - static void redistribute_cells(std::vector > regions); - - // Helper functions for 1D transportation - public: - static void distribute_new_cells(std::vector > regions, std::vector cells, std::function)> coord); - static void redistribute_cells(std::vector > & regions, std::function)> coord); - - public: - void uniquify_references(); - void selfcheck() const; - - // Accessors - capacity_t capacity() const; - capacity_t allocated_capacity() const; - capacity_t unused_capacity() const; - index_t cell_cnt() const; - - float_t distance(cell_ref const & C) const; - float_t cost() const; - }; - - private: - // Members - index_t x_regions_cnt_, y_regions_cnt_; - - std::vector cell_list_; - std::vector placement_regions_; - - box placement_area_; - std::vector density_map_; - const capacity_t full_density_mul; // Multiplicator giving the grain for fractional areas for the surface - capacity_t cell_density_mul; // ANd for the cells - float_t density_scaling_factor_; - - private: - // Helper functions - region & get_region(index_t x_coord, index_t y_coord); - region const & get_region(index_t x_coord, index_t y_coord) const; - box get_box(index_t x, index_t y, index_t x_cnt, index_t y_cnt) const; - - static void sort_uniquify(std::vector & cell_references); - static void just_uniquify(std::vector & cell_references); - - // Prepare regions with the right positions and capacities; different levels of nesting are compatible - std::vector prepare_regions(index_t x_cnt, index_t y_cnt) const; - - public: - - inline box placement_area() const; - inline point region_dimensions() const; - - inline index_t x_regions_cnt() const; - inline index_t y_regions_cnt() const; - inline index_t regions_cnt() const; - - inline index_t cell_cnt() const; - inline index_t fractional_cell_cnt() const; - - /* - * Two types of export - * Region center : upper bound of legalization cost - * 1D quadratic optimization : lower bound of legalization cost - */ - - std::vector export_positions() const; - std::vector export_spread_positions_quadratic() const; - std::vector export_spread_positions_linear() const; - - // The cost as seen by the partitioning algorithms (but not the export) - float_t cost() const; - - /* - * Further partitions - */ - - void x_bipartition(); - void y_bipartition(); - void x_resize(index_t sz); - void y_resize(index_t sz); - void multipartition(index_t x_width, index_t y_width); - void multipartition(index_t width){ multipartition(width, width); } - - /* - * Optimization functions - */ - - // Bipartitioning: only two regions are considered at a time - void redo_adjacent_bipartitions(); - void redo_diagonal_bipartitions(); - void redo_bipartitions(); - - // Line partitioning: optimal on coordinate axis with Manhattan distance (Euclidean distance could use it in any direction) - void redo_line_partitions(); - - // Multipartitioning: several regions considered, slow runtimes - void redo_diag_partitions(index_t len); - void redo_multipartitions(index_t x_width, index_t y_width); - void redo_multipartitions(index_t width){ redo_multipartitions(width, width); } - - // Try to remove duplicate fractional cells - void fractions_minimization(); - - // Verify - void selfcheck() const; - - private: - region_distribution(box placement_area, netlist const & circuit, placement_t const & pl, std::vector const & density_map, bool full_density); - - public: - /* - * Obtain a region_distribution from a placement - * - * Full density: the object tries to pack the cells as much as possible while still respecting the density limits - * Uniform density: not only are the density limits respected, the allocated capacities are proportional to the allowed densities - * - */ - - static region_distribution full_density_distribution(box placement_area, netlist const & circuit, placement_t const & pl, std::vector const & density_map = std::vector()); - static region_distribution uniform_density_distribution(box placement_area, netlist const & circuit, placement_t const & pl, std::vector const & density_map = std::vector()); - - void update(netlist const & circuit, placement_t const & pl); -}; - -inline region_distribution::movable_cell::movable_cell(){} -inline region_distribution::movable_cell::movable_cell(capacity_t demand, point p, index_t ind) : demand_(demand), pos_(p), index_in_placement_(ind){} - -inline box region_distribution::placement_area() const { return placement_area_; } -inline point region_distribution::region_dimensions() const { - point s = static_cast >(placement_area().dimensions()); - return point(s.x/x_regions_cnt(), s.y/y_regions_cnt()); -} - -inline index_t region_distribution::x_regions_cnt() const { return x_regions_cnt_; } -inline index_t region_distribution::y_regions_cnt() const { return y_regions_cnt_; } -inline index_t region_distribution::regions_cnt() const { index_t ret = x_regions_cnt() * y_regions_cnt(); assert(placement_regions_.size() == ret); return ret; } -inline region_distribution::region & region_distribution::get_region(index_t x_coord, index_t y_coord){ - return placement_regions_[y_coord * x_regions_cnt() + x_coord]; -} -inline region_distribution::region const & region_distribution::get_region(index_t x_coord, index_t y_coord) const{ - return placement_regions_[y_coord * x_regions_cnt() + x_coord]; -} - -inline index_t region_distribution::cell_cnt() const{ return cell_list_.size(); } -inline index_t region_distribution::fractional_cell_cnt() const{ - index_t tot_cnt = 0; - for(auto const & R : placement_regions_){ - tot_cnt += R.cell_cnt(); - } - return tot_cnt; -} - - -inline capacity_t region_distribution::region::capacity() const{ return capacity_; } -inline capacity_t region_distribution::region::unused_capacity() const{ return capacity() - allocated_capacity(); } -inline capacity_t region_distribution::region::allocated_capacity() const{ - capacity_t ret = 0; - for(cell_ref const C : cell_references_){ - ret += C.allocated_capacity_; - } - return ret; -} -inline index_t region_distribution::region::cell_cnt() const{ return cell_references_.size(); } - -inline float_t region_distribution::region::distance(region_distribution::cell_ref const & C) const{ - return std::abs(pos_.x - C.pos_.x) + std::abs(pos_.y - C.pos_.y); - /* - float_t manhattan = std::max(static_cast(0.0), std::max(C.pos_.x - surface_.x_max, surface_.x_min - C.pos_.x)) - + std::max(static_cast(0.0), std::max(C.pos_.y - surface_.y_max, surface_.y_min - C.pos_.y)); - return manhattan * (1.0 + manhattan * 0.0001); - */ -} - - -} // Namespace gp -} // Namespace coloquinte - -#endif - diff --git a/coloquinte/src/coloquinte/solvers.hxx b/coloquinte/src/coloquinte/solvers.hxx deleted file mode 100644 index 447e1612..00000000 --- a/coloquinte/src/coloquinte/solvers.hxx +++ /dev/null @@ -1,88 +0,0 @@ - -#ifndef COLOQUINE_GP_SOLVERS -#define COLOQUINE_GP_SOLVERS - -#include "common.hxx" - -#include - -namespace coloquinte{ -namespace gp{ - -struct matrix_doublet{ - index_t c_; - float val_; - bool operator<(matrix_doublet const o) const{ return c_ < o.c_; } - matrix_doublet(){} - matrix_doublet(index_t c, float v) : c_(c), val_(v){} -}; - -struct matrix_triplet{ - index_t r_, c_; - float_t val_; - matrix_triplet(index_t ri, index_t ci, float_t v) : r_(ri), c_(ci), val_(v){} - bool operator<(matrix_triplet const o){ return r_ < o.r_ || (r_ == o.r_ && c_ < o.c_); } -}; - -class linear_system{ - std::vector matrix_; - std::vector target_; - index_t internal_size_; - - public: - void add_triplet(index_t row, index_t col, float_t val){ matrix_.push_back(matrix_triplet(row, col, val)); } - - linear_system operator+(linear_system const & o) const; - - void add_doublet(index_t row, float_t val){ - target_[row] += val; - } - - void add_force( - float_t force, - index_t c1, index_t c2, - float_t offs1, float_t offs2 - ){ - add_triplet(c1, c1, force); - add_triplet(c2, c2, force); - add_triplet(c1, c2, -force); - add_triplet(c2, c1, -force); - add_doublet(c1, force * (offs2-offs1)); - add_doublet(c2, force * (offs1-offs2)); - } - - void add_fixed_force( - float_t force, - index_t c, - float_t fixed_pos, - float_t offs - ){ - add_triplet(c, c, force); - add_doublet(c, force * (fixed_pos-offs)); - } - - void add_anchor( - float_t scale, - index_t c, - float_t pos - ){ - add_triplet(c, c, scale); - add_doublet(c, scale*pos); - } - - linear_system(index_t s) : target_(s, 0.0), internal_size_(s){} - linear_system(index_t s, index_t i) : target_(s, 0.0), internal_size_(i){} - - index_t size() const{ return target_.size(); } - index_t internal_size() const{ return internal_size_; } - void add_variables(index_t cnt){ target_.resize(target_.size() + cnt, 0.0); } - - std::vector solve_CG(std::vector guess, index_t nbr_iter); -}; - -} // namespace gp -} // namespace coloquinte - -#endif - - diff --git a/coloquinte/src/coloquinte/topologies.hxx b/coloquinte/src/coloquinte/topologies.hxx deleted file mode 100644 index 3670a23c..00000000 --- a/coloquinte/src/coloquinte/topologies.hxx +++ /dev/null @@ -1,35 +0,0 @@ - -#include "common.hxx" - -#include - -#ifndef COLOQUINTE_TOPOLOGIES -#define COLOQUINTE_TOPOLOGIES - -namespace coloquinte{ -namespace steiner_lookup{ - -template -struct Hconnectivity{ - // The edges and the couple of pins connected to the extreme ones are represented by one char each - // The first 4 bits represent the first pin minus one, the next 4 bits the second pin minus one - std::uint8_t connexions[pin_cnt-3]; - std::uint8_t extremes; - - int_t get_wirelength(std::array, pin_cnt> const sorted_points) const; - std::array, pin_cnt-1> get_x_topology(std::array, pin_cnt> const sorted_points) const; -}; - -extern std::array, 2> const topologies_4; -extern std::array, 6> const topologies_5; -extern std::array, 23> const topologies_6; -extern std::array, 111> const topologies_7; -extern std::array, 642> const topologies_8; -extern std::array, 4334> const topologies_9; -extern std::array, 33510> const topologies_10; - -} -} - -#endif - diff --git a/coloquinte/src/coloquinte/union_find.hxx b/coloquinte/src/coloquinte/union_find.hxx deleted file mode 100644 index c3964a38..00000000 --- a/coloquinte/src/coloquinte/union_find.hxx +++ /dev/null @@ -1,47 +0,0 @@ - -#ifndef COLOQUINTE_UNION_FIND -#define COLOQUINTE_UNION_FIND - -#include "common.hxx" - -#include - -namespace coloquinte{ - -class union_find{ - std::vector connex_representants; - - public: - index_t size() const { return connex_representants.size(); } - - void merge(index_t a, index_t b){ - connex_representants[find(a)] = b; - } - - index_t find(index_t ind){ - if(connex_representants[ind] != ind){ - connex_representants[ind] = find(connex_representants[ind]); - } - return connex_representants[ind]; - } - - union_find(index_t s) : connex_representants(s){ - for(index_t i=0; i - -namespace coloquinte{ -namespace dp{ - -detailed_placement::detailed_placement( - placement_t pl, - std::vector placement_rows, - std::vector cell_heights, - std::vector > rows, - int_t min_x, int_t max_x, - int_t y_origin, - index_t nbr_rows, int_t row_height - ) - : - plt_(pl), - cell_rows_(placement_rows), - min_x_(min_x), max_x_(max_x), - y_origin_(y_origin), - row_height_(row_height) - { - - assert(row_height > 0); - assert(min_x < max_x); - assert(rows.size() == nbr_rows); - - neighbours_limits_.push_back(0); - for(index_t h : cell_heights){ - neighbours_limits_.push_back(neighbours_limits_.back() + h); - } - - neighbours_ .resize(neighbours_limits_.back(), std::pair(null_ind, null_ind) ); - - row_first_cells_ .resize(nbr_rows, null_ind); - row_last_cells_ .resize(nbr_rows, null_ind); - - std::vector explored(neighbours_limits_.back(), false); - // Now we extract the dependencies - for(index_t r=0; r= min_x_ and c.position.x + c.width <= max_x_); - - index_t n_ind = l + neighbours_limits_[i]; - assert(cell_rows_[i] + cell_height(i) <= row_cnt()); - - if(neighbours_[n_ind].first != null_ind){ - index_t oi = neighbours_[n_ind].first; - // Correct neighbour position - assert(neighbours_[neighbour_index(oi, cell_rows_[i]+l)].second == i); - } - else{ - // Beginning of a row - assert(row_first_cells_[cell_rows_[i] + l] == i); - } - if(neighbours_[n_ind].second != null_ind){ - index_t oi = neighbours_[n_ind].second; - // Correct neighbour position - assert(neighbours_[neighbour_index(oi, cell_rows_[i]+l)].first == i); - } - else{ - // End of a row - assert(row_last_cells_[cell_rows_[i] + l] == i); - } - } - } -} - -void detailed_placement::swap_standard_cell_topologies(index_t c1, index_t c2){ - assert(cell_height(c1) == cell_height(c2)); - assert(cell_height(c1) == 1 and cell_height(c2) == 1); - - index_t row_c1 = cell_rows_[c1], - row_c2 = cell_rows_[c2]; - - index_t b_c1 = neighbours_[neighbours_limits_[c1]].first; - index_t b_c2 = neighbours_[neighbours_limits_[c2]].first; - index_t a_c1 = neighbours_[neighbours_limits_[c1]].second; - index_t a_c2 = neighbours_[neighbours_limits_[c2]].second; - - // Two cases: they were adjacent or they were not - // Luckily updating in the neighbours first then swapping the recorded neighbours works in both cases for standard cells - - // Update the pointers in the cells' neighbours - if(b_c1 != null_ind) neighbours_[neighbour_index(b_c1, row_c1)].second = c2; - else row_first_cells_[row_c1] = c2; - if(b_c2 != null_ind) neighbours_[neighbour_index(b_c2, row_c2)].second = c1; - else row_first_cells_[row_c2] = c1; - - if(a_c1 != null_ind) neighbours_[neighbour_index(a_c1, row_c1)].first = c2; - else row_last_cells_[row_c1] = c2; - if(a_c2 != null_ind) neighbours_[neighbour_index(a_c2, row_c2)].first = c1; - else row_last_cells_[row_c2] = c1; - - // Swap the properties in both cells - std::swap(neighbours_[neighbours_limits_[c1]], neighbours_[neighbours_limits_[c2]]); - std::swap(cell_rows_[c1], cell_rows_[c2]); -} - -std::pair detailed_placement::get_limit_positions(netlist const & circuit, index_t c) const{ - auto ret = std::pair(min_x_, max_x_); - for(index_t l=neighbours_limits_[c]; l const old_order, std::vector const new_order, index_t r){ - assert(old_order.size() == new_order.size()); - assert(not old_order.empty()); - - index_t before_row = get_prev_cell_on_row(old_order.front(), r); - index_t after_row = get_next_cell_on_row(old_order.back(), r); - - for(index_t i=0; i 0){ - nghs.first = new_order[i-1]; - } - else{ - nghs.first = before_row; - } - if(i+1 < new_order.size()){ - nghs.second = new_order[i+1]; - } - else{ - nghs.second = after_row; - } - } - - if(before_row != null_ind) neighbours_[neighbour_index(before_row, r)].second = new_order.front(); - else row_first_cells_[r] = new_order.front(); - if(after_row != null_ind) neighbours_[neighbour_index(after_row, r)].first = new_order.back(); - else row_last_cells_[r] = new_order.back(); -} - -void detailed_placement::reorder_standard_cells(std::vector const old_order, std::vector const new_order){ - assert(old_order.size() == new_order.size()); - assert(not old_order.empty()); - - index_t before_row = neighbours_[neighbours_limits_[old_order.front()]].first; - index_t after_row = neighbours_[neighbours_limits_[old_order.back() ]].second; - - index_t r = cell_rows_[new_order.front()]; - - for(index_t i=0; i 0){ - nghs.first = new_order[i-1]; - } - else{ - nghs.first = before_row; - } - if(i+1 < new_order.size()){ - nghs.second = new_order[i+1]; - } - else{ - nghs.second = after_row; - } - } - - if(before_row != null_ind) neighbours_[neighbour_index(before_row, r)].second = new_order.front(); - else row_first_cells_[r] = new_order.front(); - if(after_row != null_ind) neighbours_[neighbour_index(after_row, r)].first = new_order.back(); - else row_last_cells_[r] = new_order.back(); -} - -void row_compatible_orientation(netlist const & circuit, detailed_placement & pl, bool first_row_orient){ - for(index_t c=0; c -#include -#include -#include -#include - -namespace coloquinte{ -namespace dp{ - -void get_result(netlist const & circuit, detailed_placement const & dpl, placement_t & gpl){ - for(index_t c=0; c task() const{ return legalizable_task(width, x_pos, original_cell); } -}; - -struct fixed_cell_interval{ - int_t min_x, max_x; - index_t cell_ind; - - bool operator<(fixed_cell_interval const o) const{ return min_x > o.min_x; } - fixed_cell_interval(int_t mn, int_t mx, index_t ind) : min_x(mn), max_x(mx), cell_ind(ind){} -}; - -struct cell_leg_properties{ - int_t x_pos; - index_t row_pos; - index_t ind; - - cell_leg_properties(){} - cell_leg_properties(int_t x, int_t r, index_t i) : x_pos(x), row_pos(r), ind(i){} -}; - -std::vector simple_legalize( - std::vector > obstacles, std::vector cells, - std::vector > & rows, - int_t x_min, int_t x_max, int_t y_orig, - int_t row_height, index_t nbr_rows - ){ - - std::vector first_available_position(nbr_rows, x_min); - rows.resize(nbr_rows); - - // Sort the cells by x position - std::sort(cells.begin(), cells.end()); - - std::vector ret; - - for(cell_to_leg C : cells){ - // Dumb, quick and dirty best-fit legalization - bool found_location = false; - - // Properties of the current best solution - int_t best_x=0; - int_t best_cost=0; - index_t best_row=0; - - // Helper function - auto check_row_cost = [&](index_t r, cell_to_leg const cell, int_t additional_cost){ - // Find where to put the cell in these rows - // Simple method: get a range where we can put the cell - - assert(r + cell.nbr_rows <= nbr_rows); - assert(additional_cost >= 0); - - // First position where we can put it - int_t cur_pos = *std::max_element(first_available_position.begin() + r, first_available_position.begin() + r + cell.nbr_rows); - int_t max_lim = x_max - cell.width; - int_t interval_lim; - do{ - interval_lim = max_lim; - // For each row, test if obstacles prevent us from putting a cell here - // Until we find a correct position or are beyond the maximum position - for(index_t i = 0; imax_x <= cur_pos; ++it){ - } - if(it != obstacles[r+i].rend()){ // There is an obstacle on the right - assert(it->min_x < it->max_x); - int_t cur_lim = it->min_x - cell.width; // Where the obstacles contrains us - interval_lim = std::min(cur_lim, interval_lim); // Constraint - if(cur_lim < cur_pos){ // If this particular obstacle constrained us so that it is not possible to make it here, we increment the position - cur_pos = std::max(it->max_x, cur_pos); - } - } - } - // Do it again until we find a solution - // TODO: continue until we can't find a better solution (currently sticks before the first obstacle if there is enough whitespace) - }while(interval_lim < cur_pos and interval_lim < max_lim and cur_pos < max_lim); // Not admissible and we encountered an obstacle and there is still hope - - if(interval_lim >= cur_pos){ // An admissible solution is found (and if cell.x_pos is between cur_pos and interval_lim it is optimal) - int_t row_best_x = std::min(interval_lim, std::max(cur_pos, cell.x_pos)); - int_t row_cost_x = std::abs((float)(row_best_x - cell.x_pos)); - if(not found_location or row_cost_x + additional_cost < best_cost){ - found_location = true; - best_cost = row_cost_x + additional_cost; - best_x = row_best_x; - best_row = r; - } - } - }; - - // The row where we would prefer the cell to go - if(C.nbr_rows > nbr_rows) throw std::runtime_error("Impossible to legalize a cell spanning more rows than are available\n"); - index_t central_row = std::min( (index_t) std::max( (C.y_pos - y_orig) / row_height, 0), nbr_rows-C.nbr_rows); - - // Try every possible row from the best one, until we can't improve the cost - for(index_t row_dist = 0; - (central_row + row_dist < nbr_rows or central_row >= row_dist) - and (not found_location or (int_t) row_dist * row_height * C.width < (int_t) row_height + best_cost); - ++row_dist - ){ - if(central_row + row_dist < nbr_rows - C.nbr_rows){ - int_t add_cost = C.width * std::abs((float)static_cast(central_row + row_dist) * static_cast(row_height) + y_orig - C.y_pos); - check_row_cost(central_row + row_dist, C, add_cost); - } - if(central_row >= row_dist){ - int_t add_cost = C.width * std::abs((float)static_cast(central_row - row_dist) * static_cast(row_height) + y_orig - C.y_pos); - check_row_cost(central_row - row_dist, C, add_cost); - } - } - - if(not found_location){ // We didn't find any whitespace to put the cell in - throw std::runtime_error("Didn't manage to pack a cell due to dumb algorithm\n"); - } - else{ - assert(best_x + C.width <= x_max and best_x >= x_min); - // Update the occupied rows - for(index_t r = best_row; r < best_row + C.nbr_rows; ++r){ - // Include the obstacles - while(not obstacles[r].empty() - and obstacles[r].back().max_x <= best_x){ - rows[r].push_back(obstacles[r].back().cell_ind); - obstacles[r].pop_back(); - } - assert(obstacles[r].empty() or obstacles[r].back().min_x >= best_x + C.width); - - rows[r].push_back(C.original_cell); - first_available_position[r] = best_x + C.width; - } - - ret.push_back(cell_leg_properties(best_x, best_row, C.original_cell)); - } - } - - // Finally, push the remaining fixed cells - for(index_t r=0; r good_legalize( - std::vector > obstacles, std::vector cells, - std::vector > & rows, - int_t x_min, int_t x_max, int_t y_orig, - int_t row_height, index_t nbr_rows - ){ - - // Two possibilities: - // * Single OSRP (group of movable cells) at the current end of the row of standard cells - // * Multiple OSRPs, between each pair of obstacles - // -> allows pushing cells past obstacles - // -> tricky with multiple standard cell heights - // Therefore I chose single OSRP, which gets cleared and pushed to the final state whenever - // * we encounter a multiple-rows cell - // * a new standard cell gets past an obstacle - - // The current group of standard cells on the right of the row - std::vector > single_row_problems(nbr_rows); - for(index_t r=0; r(x_min, obstacles[r].empty() ? x_max : obstacles[r].back().min_x); - } - rows.resize(nbr_rows); - - // Sort the cells by x position - std::sort(cells.begin(), cells.end()); - - std::vector ret; - - for(cell_to_leg C : cells){ - // Dumb, quick and dirty best-fit legalization - bool found_location = false; - - // Properties of the current best solution - int_t best_cost=0; - index_t best_row=0; - index_t obstacles_passed = 0; - - // Helper function - auto check_row_cost = [&](index_t r, cell_to_leg const cell, int_t additional_cost){ - // Find where to put the cell in these rows - // Check if we can put it in the current ranges and at what cost; if not or if the optimal position is beyond an obstacle, try after this obstacle too - - assert(cell.nbr_rows > 0); - assert(r + cell.nbr_rows <= nbr_rows); - assert(additional_cost >= 0); - - // Where can we put a standard cell if we allow to move the cells? - if(cell.nbr_rows == 1){ - int_t cur_cost = 0; - - // Can we simply add it to the single row problem? - bool found_here = single_row_problems[r].remaining_space() >= cell.width; - int_t loc_obstacles_passed = 0; - if(found_here){ - // Check the cost of pushing it here with possible displacement - cur_cost = single_row_problems[r].get_cost(cell.task()); // Don't update the row - } - - // Other positions where we can put it, without moving other cells this time - if(not found_here or cur_cost > 0){ - index_t obstacles_to_throw = 0; - auto it = obstacles[r].rbegin(); - while(it != obstacles[r].rend()){ - ++ obstacles_to_throw; - auto prev_it = it++; - int_t region_end = it != obstacles[r].rend() ? it->min_x : x_max; - if(region_end >= prev_it->max_x + cell.width){ - int_t loc_x = std::min(region_end - cell.width, std::max(prev_it->max_x, cell.x_pos)); - int_t loc_cost = cell.width * std::abs((float)(cell.x_pos - loc_x)); - if(not found_here or cur_cost > loc_cost){ - found_here = true; - cur_cost = loc_cost; - loc_obstacles_passed = obstacles_to_throw; - } - } - } - } - if(found_here and (not found_location or cur_cost + additional_cost < best_cost)){ - found_location = true; - //std::cout << "Found with displacement cost " << cur_cost << " and total cost " << cur_cost + additional_cost << std::endl; - best_cost = cur_cost + additional_cost; - best_row = r; - obstacles_passed = loc_obstacles_passed; - if(loc_obstacles_passed > 0) assert(not obstacles[r].empty()); - } - } - else{ - // If it is a fixed cell, we use fixed locations - std::cerr << "cell.nbr_rows:" << cell.nbr_rows << std::endl; - throw std::runtime_error("I don't handle fucking macros (good_legalize)\n"); - } - }; - - // The row where we would prefer the cell to go - if(C.nbr_rows > nbr_rows) throw std::runtime_error("Impossible to legalize a cell spanning more rows than are available\n"); - index_t central_row = std::min( (index_t) std::max( (C.y_pos - y_orig) / row_height, 0), nbr_rows-C.nbr_rows); - - // Try every possible row from the best one, until we can't improve the cost - for(index_t row_dist = 0; - (central_row + row_dist < nbr_rows or central_row >= row_dist) - and (not found_location or (int_t) row_dist * row_height * C.width < (int_t) row_height + best_cost); - ++row_dist - ){ - if(central_row + row_dist < nbr_rows - C.nbr_rows){ - int_t add_cost = C.width * std::abs((float)static_cast(central_row + row_dist) * static_cast(row_height) + y_orig - C.y_pos); - check_row_cost(central_row + row_dist, C, add_cost); - } - if(central_row >= row_dist){ - int_t add_cost = C.width * std::abs((float)static_cast(central_row - row_dist) * static_cast(row_height) + y_orig - C.y_pos); - check_row_cost(central_row - row_dist, C, add_cost); - } - } - - if(not found_location){ // We didn't find any whitespace to put the cell in - throw std::runtime_error("Didn't manage to pack a cell: leave more whitespace and avoid macros near the right side\n"); - } - else{ - //std::cout << "Cell " << C.original_cell << " of width " << C.width << " targetting row " << central_row << " and position " << C.x_pos << " put at row " << best_row << " with displacement " << best_cost / C.width << " with " << obstacles_passed << " obstacles passed" << std::endl; - // If the cell spans multiple rows, it becomes fixed - // In this case or if the cell goes after an obstacle, push everything before the cell to the fixed state - - if(C.nbr_rows == 1){ - if(obstacles_passed == 0){ // Ok; just update the old single row problem - single_row_problems[best_row].push(C.task()); // Push it to the row - } - else{ - assert(obstacles_passed > 0); - // Empty the single row problem - for(auto p : single_row_problems[best_row].get_placement()){ - rows[best_row].push_back(p.first); - ret.push_back(cell_leg_properties(p.second, best_row, p.first)); - } - // Find where to put it - int_t region_begin = x_min; - for(index_t i=0; i(region_begin, region_end); - assert(region_end - region_begin >= C.width); - single_row_problems[best_row].push(C.task()); // Push this only cell to the single row problem - } - } - else{ - throw std::runtime_error("I don't handle fucking macros (here)\n"); - } - } - } - - for(index_t r=0; r surface, int_t row_height){ - if(row_height <= 0) throw std::runtime_error("The rows' height should be positive\n"); - - index_t nbr_rows = (surface.y_max - surface.y_min) / row_height; - // The position of the ith row is surface.y_min + i * row_height - - std::vector > row_occupation(nbr_rows); - std::vector cells; - - placement_t new_placement = pl; - std::vector placement_rows(circuit.cell_cnt()); - std::vector cell_heights(circuit.cell_cnt()); - - for(index_t i=0; i target_pos = pl.positions_[i]; - index_t cur_cell_rows = (cur.size.y + row_height -1) / row_height; - cells.push_back(cell_to_leg(target_pos.x, target_pos.y, i, cur.size.x, cur_cell_rows)); - cell_heights[i] = cur_cell_rows; - } - else{ - // In each row, we put the index of the fixed cell and the range that is already occupied - int_t low_x_pos = pl.positions_[i].x, - hgh_x_pos = pl.positions_[i].x + cur.size.x, - low_y_pos = pl.positions_[i].y, - hgh_y_pos = pl.positions_[i].y + cur.size.y; - - new_placement.positions_[i] = point(low_x_pos, low_y_pos); - if(hgh_y_pos <= surface.y_min or low_y_pos >= surface.y_max or hgh_x_pos <= surface.x_min or low_x_pos >= surface.x_max){ - placement_rows[i] = null_ind; - cell_heights[i] = 0; - } - else{ - assert(low_x_pos < hgh_x_pos and low_y_pos < hgh_y_pos); - - int_t rnd_hgh_x_pos = std::min(surface.x_max, hgh_x_pos); - int_t rnd_hgh_y_pos = std::min(surface.y_max, hgh_y_pos); - int_t rnd_low_x_pos = std::max(surface.x_min, low_x_pos); - int_t rnd_low_y_pos = std::max(surface.y_min, low_y_pos); - index_t first_row = (rnd_low_y_pos - surface.y_min) / row_height; - index_t last_row = (index_t) (rnd_hgh_y_pos - surface.y_min + row_height - 1) / row_height; // Exclusive: if the cell spans the next row, i.e. pos % row_height >= 0, include it too - assert(last_row <= nbr_rows); - - placement_rows[i] = first_row; - cell_heights[i] = last_row - first_row; - for(index_t r=first_row; r & L : row_occupation){ - std::sort(L.begin(), L.end()); // Sorts from last to first, so that we may use pop_back() - // Doesn't collapse them yet, which may make for bigger complexities - for(index_t i=0; i+1 min_x:" << L[i+1].min_x << "\n"; - throw std::runtime_error(message.str()); - } - } - } - - std::vector > cells_by_rows; - - auto final_cells = good_legalize(row_occupation, cells, cells_by_rows, - surface.x_min, surface.x_max, surface.y_min, - row_height, nbr_rows - ); - - for(cell_leg_properties C : final_cells){ - new_placement.positions_[C.ind] = point(C.x_pos, static_cast(C.row_pos) * row_height + surface.y_min); - placement_rows[C.ind] = C.row_pos; - } - - return detailed_placement( - new_placement, - placement_rows, - cell_heights, - cells_by_rows, - surface.x_min, surface.x_max, - surface.y_min, - nbr_rows, row_height - ); -} - -} // namespace dp -} // namespace coloquinte - diff --git a/coloquinte/src/lookup_table.cxx b/coloquinte/src/lookup_table.cxx deleted file mode 100644 index 087099e6..00000000 --- a/coloquinte/src/lookup_table.cxx +++ /dev/null @@ -1,38654 +0,0 @@ - -#include "coloquinte/topologies.hxx" - -namespace coloquinte{ -namespace steiner_lookup{ - -// This content was automatically generated -// They represent a set of trees on n nodes whose horizontal connectivity yield the optimal Steiner trees - -std::array, 2> const topologies_4{{ - {{16},16}, - {{1},0} -}}; -std::array, 6> const topologies_5{{ - {{16,33},32}, - {{16,18},16}, - {{16,18},17}, - {{1,32},32}, - {{2,16},16}, - {{18,1},0} -}}; -std::array, 23> const topologies_6{{ - {{16,33,50},48}, - {{16,33,35},32}, - {{32,33,35},32}, - {{32,33,35},33}, - {{16,33,35},34}, - {{16,18,49},48}, - {{16,18,49},49}, - {{16,18,19},17}, - {{16,19,33},32}, - {{16,19,33},33}, - {{16,35,18},16}, - {{16,35,18},17}, - {{1,32,50},48}, - {{1,32,35},32}, - {{2,16,49},48}, - {{2,16,19},16}, - {{18,1,48},48}, - {{18,3,16},16}, - {{18,19,1},0}, - {{3,16,33},32}, - {{19,1,32},32}, - {{35,2,16},16}, - {{35,18,1},0} -}}; -std::array, 111> const topologies_7{{ - {{16,33,50,67},64}, - {{16,33,50,52},48}, - {{16,49,50,52},48}, - {{32,49,50,52},48}, - {{48,33,50,52},48}, - {{32,49,50,52},49}, - {{48,33,50,52},49}, - {{16,49,50,52},50}, - {{16,33,50,52},51}, - {{16,33,35,66},64}, - {{32,33,35,66},64}, - {{32,33,35,66},65}, - {{16,33,35,66},66}, - {{32,33,35,36},32}, - {{32,33,35,36},33}, - {{16,33,35,36},34}, - {{32,33,35,36},34}, - {{16,33,36,50},48}, - {{32,33,36,50},48}, - {{32,33,36,50},49}, - {{16,33,36,50},50}, - {{16,33,52,35},32}, - {{32,33,52,35},32}, - {{32,33,52,35},33}, - {{16,33,52,35},34}, - {{16,18,49,67},64}, - {{16,18,49,67},65}, - {{16,18,49,52},48}, - {{16,18,49,52},49}, - {{48,18,49,52},49}, - {{16,18,49,52},51}, - {{16,18,19,65},65}, - {{16,18,20,49},49}, - {{16,18,52,19},17}, - {{16,19,33,66},64}, - {{16,19,33,66},65}, - {{16,19,33,36},32}, - {{16,19,33,36},33}, - {{32,19,33,36},33}, - {{16,19,33,36},34}, - {{16,35,18,65},64}, - {{16,35,18,65},65}, - {{16,35,18,20},17}, - {{16,35,20,33},32}, - {{16,19,20,33},33}, - {{16,35,20,33},33}, - {{32,35,20,33},33}, - {{16,35,20,33},34}, - {{16,35,36,18},16}, - {{16,19,36,18},17}, - {{16,35,36,18},17}, - {{32,35,36,18},17}, - {{16,35,36,18},18}, - {{16,20,33,50},48}, - {{16,20,33,50},49}, - {{16,36,18,49},48}, - {{16,36,18,49},49}, - {{16,52,19,33},32}, - {{16,52,19,33},33}, - {{16,52,35,18},16}, - {{16,52,35,18},17}, - {{1,32,50,67},64}, - {{1,32,50,52},48}, - {{1,48,50,52},48}, - {{1,32,35,66},64}, - {{1,32,36,50},48}, - {{1,32,52,35},32}, - {{49,2,48,52},48}, - {{33,3,32,36},32}, - {{33,35,4,32},32}, - {{33,35,36,2},0}, - {{2,16,49,67},64}, - {{2,16,49,52},48}, - {{2,16,19,65},64}, - {{2,16,20,49},48}, - {{2,16,52,19},16}, - {{18,1,48,67},64}, - {{18,1,48,52},48}, - {{18,3,16,65},64}, - {{18,19,1,64},64}, - {{18,4,16,49},48}, - {{18,20,1,48},48}, - {{18,52,3,16},16}, - {{18,52,19,1},0}, - {{3,16,33,66},64}, - {{3,16,33,36},32}, - {{3,16,20,33},32}, - {{3,16,36,18},16}, - {{19,1,32,66},64}, - {{19,1,32,36},32}, - {{35,2,16,65},64}, - {{35,2,16,20},16}, - {{35,18,1,64},64}, - {{35,18,4,16},16}, - {{35,18,20,1},0}, - {{19,4,16,33},32}, - {{35,4,16,33},32}, - {{19,20,1,32},32}, - {{35,20,1,32},32}, - {{19,36,2,16},16}, - {{35,36,2,16},16}, - {{19,36,18,1},0}, - {{35,36,18,1},0}, - {{4,16,33,50},48}, - {{20,1,32,50},48}, - {{36,2,16,49},48}, - {{36,18,1,48},48}, - {{52,3,16,33},32}, - {{52,19,1,32},32}, - {{52,35,2,16},16}, - {{52,35,18,1},0} -}}; -std::array, 642> const topologies_8{{ - {{16,33,50,67,84},80}, - {{16,33,50,67,69},64}, - {{16,33,66,67,69},64}, - {{16,49,66,67,69},64}, - {{16,65,50,67,69},64}, - {{32,49,66,67,69},64}, - {{32,65,50,67,69},64}, - {{48,33,66,67,69},64}, - {{64,33,50,67,69},64}, - {{32,49,66,67,69},65}, - {{32,65,50,67,69},65}, - {{48,33,66,67,69},65}, - {{64,33,50,67,69},65}, - {{16,49,66,67,69},66}, - {{16,65,50,67,69},66}, - {{16,33,66,67,69},67}, - {{16,33,50,67,69},68}, - {{16,33,50,52,83},80}, - {{16,49,50,52,83},80}, - {{32,49,50,52,83},80}, - {{48,33,50,52,83},80}, - {{32,49,50,52,83},81}, - {{48,33,50,52,83},81}, - {{16,49,50,52,83},82}, - {{16,33,50,52,83},83}, - {{16,49,50,52,53},48}, - {{32,49,50,52,53},48}, - {{48,33,50,52,53},48}, - {{48,49,50,52,53},48}, - {{32,49,50,52,53},49}, - {{48,33,50,52,53},49}, - {{48,49,50,52,53},49}, - {{16,49,50,52,53},50}, - {{48,49,50,52,53},50}, - {{16,33,50,52,53},51}, - {{16,49,50,52,53},51}, - {{32,49,50,52,53},51}, - {{48,33,50,52,53},51}, - {{16,33,50,53,67},64}, - {{16,49,50,53,67},64}, - {{32,49,50,53,67},64}, - {{48,33,50,53,67},64}, - {{32,49,50,53,67},65}, - {{48,33,50,53,67},65}, - {{16,49,50,53,67},66}, - {{16,33,50,53,67},67}, - {{16,33,50,69,52},48}, - {{16,49,50,69,52},48}, - {{32,49,50,69,52},48}, - {{48,33,50,69,52},48}, - {{32,49,50,69,52},49}, - {{48,33,50,69,52},49}, - {{16,49,50,69,52},50}, - {{16,33,50,69,52},51}, - {{16,33,35,66,84},80}, - {{32,33,35,66,84},80}, - {{32,33,35,66,84},81}, - {{16,33,35,66,84},82}, - {{16,33,35,66,69},64}, - {{32,33,35,66,69},64}, - {{32,65,35,66,69},64}, - {{64,33,35,66,69},64}, - {{32,33,35,66,69},65}, - {{32,65,35,66,69},65}, - {{64,33,35,66,69},65}, - {{16,33,35,66,69},66}, - {{16,65,35,66,69},66}, - {{32,65,35,66,69},66}, - {{64,33,35,66,69},66}, - {{16,33,35,66,69},68}, - {{32,33,35,66,69},68}, - {{32,33,35,36,82},80}, - {{32,33,35,36,82},81}, - {{16,33,35,36,82},82}, - {{32,33,35,36,82},82}, - {{32,33,35,36,37},34}, - {{32,33,35,37,66},64}, - {{32,33,35,37,66},65}, - {{16,33,35,37,66},66}, - {{32,33,35,37,66},66}, - {{32,33,35,69,36},32}, - {{32,33,35,69,36},33}, - {{16,33,35,69,36},34}, - {{32,33,35,69,36},34}, - {{16,33,36,50,83},80}, - {{32,33,36,50,83},80}, - {{32,33,36,50,83},81}, - {{16,33,36,50,83},82}, - {{16,33,36,50,53},48}, - {{32,33,36,50,53},48}, - {{32,49,36,50,53},48}, - {{48,33,36,50,53},48}, - {{32,33,36,50,53},49}, - {{32,49,36,50,53},49}, - {{48,33,36,50,53},49}, - {{16,33,36,50,53},50}, - {{16,49,36,50,53},50}, - {{32,49,36,50,53},50}, - {{48,33,36,50,53},50}, - {{16,33,36,50,53},51}, - {{32,33,36,50,53},51}, - {{16,33,52,35,82},80}, - {{32,33,52,35,82},80}, - {{32,33,52,35,82},81}, - {{16,33,52,35,82},82}, - {{32,33,52,35,37},32}, - {{32,33,52,35,37},33}, - {{16,33,52,35,37},34}, - {{32,33,52,35,37},34}, - {{16,33,52,37,50},48}, - {{32,33,36,37,50},48}, - {{32,33,52,37,50},48}, - {{32,49,52,37,50},48}, - {{48,33,52,37,50},48}, - {{32,33,36,37,50},49}, - {{32,33,52,37,50},49}, - {{32,49,52,37,50},49}, - {{48,33,52,37,50},49}, - {{16,33,36,37,50},50}, - {{16,33,52,37,50},50}, - {{16,49,52,37,50},50}, - {{32,33,36,37,50},50}, - {{32,49,52,37,50},50}, - {{48,33,52,37,50},50}, - {{16,33,52,37,50},51}, - {{32,33,52,37,50},51}, - {{16,33,52,53,35},32}, - {{32,33,36,53,35},32}, - {{32,33,52,53,35},32}, - {{32,49,52,53,35},32}, - {{48,33,52,53,35},32}, - {{32,33,36,53,35},33}, - {{32,33,52,53,35},33}, - {{32,49,52,53,35},33}, - {{48,33,52,53,35},33}, - {{16,33,36,53,35},34}, - {{16,33,52,53,35},34}, - {{16,49,52,53,35},34}, - {{32,33,36,53,35},34}, - {{32,49,52,53,35},34}, - {{48,33,52,53,35},34}, - {{16,33,52,53,35},35}, - {{32,33,52,53,35},35}, - {{16,33,37,50,67},64}, - {{32,33,37,50,67},64}, - {{32,33,37,50,67},65}, - {{16,33,37,50,67},66}, - {{16,33,53,35,66},64}, - {{32,33,53,35,66},64}, - {{32,33,53,35,66},65}, - {{16,33,53,35,66},66}, - {{16,33,69,36,50},48}, - {{32,33,69,36,50},48}, - {{32,33,69,36,50},49}, - {{16,33,69,36,50},50}, - {{16,33,69,52,35},32}, - {{32,33,69,52,35},32}, - {{32,33,69,52,35},33}, - {{16,33,69,52,35},34}, - {{16,18,49,67,84},80}, - {{16,18,49,67,84},81}, - {{16,18,49,67,69},64}, - {{16,18,65,67,69},64}, - {{16,18,49,67,69},65}, - {{16,18,65,67,69},65}, - {{48,18,65,67,69},65}, - {{64,18,49,67,69},65}, - {{16,18,65,67,69},67}, - {{16,18,49,67,69},68}, - {{16,18,49,52,83},80}, - {{16,18,49,52,83},81}, - {{48,18,49,52,83},81}, - {{16,18,49,52,83},83}, - {{48,18,49,52,53},49}, - {{16,18,49,52,53},51}, - {{16,18,49,53,67},64}, - {{16,18,49,53,67},65}, - {{48,18,49,53,67},65}, - {{16,18,49,53,67},67}, - {{16,18,49,69,52},48}, - {{16,18,49,69,52},49}, - {{48,18,49,69,52},49}, - {{16,18,49,69,52},51}, - {{16,18,19,65,84},81}, - {{16,66,19,65,69},64}, - {{16,18,19,65,69},65}, - {{16,66,19,65,69},65}, - {{32,66,19,65,69},65}, - {{16,66,19,65,69},66}, - {{16,18,20,49,83},81}, - {{16,50,20,49,53},48}, - {{16,18,20,49,53},49}, - {{16,50,20,49,53},49}, - {{32,50,20,49,53},49}, - {{16,50,20,49,53},50}, - {{16,18,52,19,81},81}, - {{16,50,52,21,49},48}, - {{16,18,52,21,49},49}, - {{16,50,52,21,49},49}, - {{32,50,52,21,49},49}, - {{16,50,52,21,49},50}, - {{16,50,52,53,19},16}, - {{16,18,52,53,19},17}, - {{16,50,52,53,19},17}, - {{32,50,52,53,19},17}, - {{16,50,52,53,19},18}, - {{16,18,21,49,67},65}, - {{16,18,53,19,65},65}, - {{16,18,69,20,49},49}, - {{16,18,69,52,19},17}, - {{16,19,33,66,84},80}, - {{16,19,33,66,84},81}, - {{16,19,33,66,69},64}, - {{16,19,33,66,69},65}, - {{64,19,33,66,69},65}, - {{16,19,33,66,69},68}, - {{16,19,33,36,82},80}, - {{16,19,33,36,82},81}, - {{32,19,33,36,82},81}, - {{16,19,33,36,82},82}, - {{32,19,33,36,37},33}, - {{16,19,33,36,37},34}, - {{16,19,33,37,66},64}, - {{16,19,33,37,66},65}, - {{32,19,33,37,66},65}, - {{16,19,33,37,66},66}, - {{16,19,33,69,36},32}, - {{16,19,33,69,36},33}, - {{32,19,33,69,36},33}, - {{16,19,33,69,36},34}, - {{16,35,18,65,84},80}, - {{16,35,18,65,84},81}, - {{16,35,18,65,69},64}, - {{16,35,18,65,69},65}, - {{64,35,18,65,69},65}, - {{16,35,18,65,69},68}, - {{16,35,18,20,81},81}, - {{16,35,18,21,65},65}, - {{16,35,18,69,20},17}, - {{16,35,20,33,82},80}, - {{16,19,20,33,82},81}, - {{16,35,20,33,82},81}, - {{32,35,20,33,82},81}, - {{16,35,20,33,82},82}, - {{16,19,20,33,37},33}, - {{32,35,20,33,37},33}, - {{16,35,20,33,37},34}, - {{16,35,36,18,81},80}, - {{16,19,36,18,81},81}, - {{16,35,36,18,81},81}, - {{32,35,36,18,81},81}, - {{16,35,36,18,81},82}, - {{16,35,36,18,21},17}, - {{16,19,36,21,33},33}, - {{16,35,20,21,33},33}, - {{32,35,36,21,33},33}, - {{16,35,36,21,33},34}, - {{16,19,36,37,18},17}, - {{16,35,20,37,18},17}, - {{32,35,36,37,18},17}, - {{16,35,36,37,18},18}, - {{16,35,21,33,66},64}, - {{16,19,21,33,66},65}, - {{16,35,21,33,66},65}, - {{32,35,21,33,66},65}, - {{16,35,21,33,66},66}, - {{16,35,37,18,65},64}, - {{16,19,37,18,65},65}, - {{16,35,37,18,65},65}, - {{32,35,37,18,65},65}, - {{16,35,37,18,65},66}, - {{16,35,69,20,33},32}, - {{16,19,69,20,33},33}, - {{16,35,69,20,33},33}, - {{32,35,69,20,33},33}, - {{16,35,69,20,33},34}, - {{16,35,69,36,18},16}, - {{16,19,69,36,18},17}, - {{16,35,69,36,18},17}, - {{32,35,69,36,18},17}, - {{16,35,69,36,18},18}, - {{16,20,33,50,83},80}, - {{16,20,33,50,83},81}, - {{16,20,33,50,53},48}, - {{16,20,33,50,53},49}, - {{48,20,33,50,53},49}, - {{16,20,33,50,53},51}, - {{16,20,33,37,50},48}, - {{16,20,33,37,50},49}, - {{32,20,33,37,50},49}, - {{16,20,33,37,50},50}, - {{16,20,33,53,35},32}, - {{16,20,33,53,35},33}, - {{32,20,33,53,35},33}, - {{16,20,33,53,35},34}, - {{16,36,18,49,83},80}, - {{16,36,18,49,83},81}, - {{16,36,18,49,53},48}, - 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* when evicting the preceding cell from a region (most such changes are 0 and not considered, hence the complexity) - * when moving to a non-full region - * While the new cell overlaps with a new region, get the new slope (derivative) at this point - * and push all preceding cell until this region is freed or the slope becomes 0 (in which case the new region is now occupied) - */ - - struct bound{ - capacity_t pos; - int_t slope_diff; - bool operator<(bound const o) const{ return pos < o.pos; } - }; - - std::priority_queue bounds; - std::vector constraining_pos; - std::vector prev_cap(1, 0), prev_dem(1, 0); - for(auto const s : sinks){ - prev_cap.push_back(s.second + prev_cap.back()); - } - for(auto const s : sources){ - prev_dem.push_back(s.second + prev_dem.back()); - } - // The sinks have enough capacity to hold the whole demand - assert(prev_cap.back() >= prev_dem.back()); - - const capacity_t min_abs_pos = 0, max_abs_pos = prev_cap.back() - prev_dem.back(); - assert(min_abs_pos <= max_abs_pos); - - auto push_bound = [&](capacity_t p, int_t s){ - assert(s >= 0); - if(p > min_abs_pos){ - bound B; - B.pos = p; - B.slope_diff = s; - bounds.push(B); - } - }; - - // Distance to the right - distance to the left - auto get_slope = [&](index_t src, index_t boundary){ - assert(boundary+1 < sinks.size()); - assert(src < sources.size()); - return std::abs((float)(sources[src].first - sinks[boundary+1].first)) - std::abs((float)(sources[src].first - sinks[boundary].first)); - }; - - capacity_t cur_abs_pos = min_abs_pos; - index_t opt_r=0, next_r=0, first_free_r=0; - - for(index_t i=0; i0){ - // Push bounds due to changing the source crossing the boundary j/j+1 - // Linear amortized complexity accross all sources (next_r grows) - // get_slope(i-1, j) - get_slope(i, j) == 0 if j >= next_r - // get_slope(i-1, j) - get_slope(i, j) == 0 if j < prev_next_r-1 - - for(index_t j=std::max(prev_next_r,1u)-1; j std::max(prev_cap[first_free_r+1] - prev_dem[i+1], min_abs_pos)){ // Absolute position that wouldn't make the cell fit in the region, and we are not in the last region yet - capacity_t end_pos = std::max(prev_cap[first_free_r+1] - prev_dem[i+1], min_abs_pos); - - int_t add_slope = get_slope(i, first_free_r); - int_t slope = add_slope; - - while(not bounds.empty() and slope >= 0 and bounds.top().pos > end_pos){ - this_abs_pos = bounds.top().pos; - slope -= bounds.top().slope_diff; - bounds.pop(); - } - if(slope >= 0){ // We still push: the cell completely escapes the region - this_abs_pos = end_pos; - push_bound(end_pos, add_slope-slope); - } - else{ // Ok, absorbed the whole slope: push what remains and we still occupy the next region - push_bound(this_abs_pos, -slope); - ++first_free_r; - } - } - cur_abs_pos = this_abs_pos; - constraining_pos.push_back(this_abs_pos); - } - - assert(constraining_pos.size() == sources.size()); - if(not constraining_pos.empty()){ - // Calculate the final constraining_pos - constraining_pos.back() = std::min(max_abs_pos, constraining_pos.back()); - } - - std::partial_sum(constraining_pos.rbegin(), constraining_pos.rend(), constraining_pos.rbegin(), [](capacity_t a, capacity_t b)->capacity_t{ return std::min(a, b); }); - - for(index_t i=0; i o.cost // Sorted by cost - || (cost == o.cost && source < o.source); // And by index to limit the number of fractional elements between two regions - } - movable_source(index_t s, float_t c) : source(s), cost(c) {} - }; - - // Member data - - // The current state - std::vector > sr_allocations; // For each region, for each source, the capacity allocated by the region - std::vector > sr_costs; // The costs from a region to a source - std::vector s_demands; // The demands of the sources - std::vector r_capacities; // The remaining capacities of the regions - - // Shortest path data - std::vector r_costs; // The costs of allocating to a region - std::vector r_parents; // The parents of the regions i.e. the regions where we push sources first (or null_ind) - std::vector r_sources; // The source involved in these edges - std::vector arc_capacities; // The capacities of the edges to the parents, or of the region if no parent - - // Best edges data - std::vector > > best_interregions_costs; // What is the best source to move to go from region k1 to region k2? - index_t dijkstra_cnt; - - - // Helper functions - - // Number of regions - index_t region_cnt() const{ - assert(sr_costs.size() == sr_allocations.size()); - return sr_costs.size(); - } - - // Update the edge between two regions - void update_edge(index_t r1, index_t r2); - // Add a source to all heaps of a region; returns if we need to update a path - bool add_source_to_heaps(index_t r, index_t source); - // Initialize the heaps of a region - void create_heaps(index_t reg); - - // Run the shortest path algorithm to update the cost of each region - void dijkstra_update(); - - // Update the edge and returns if we need to rerun Dijkstra - bool push_edge(index_t reg, capacity_t flow); - // Updates a full path when pushing an element; returns if we need to rerun Dijkstra - bool push_path(index_t pushed_reg, capacity_t demanded, capacity_t & flow); - - public: - // Add a new source to the transportation problem; should be done in decreasing order of demand to keep low complexity - void add_source(index_t elt_ind); - - current_allocation(std::vector caps, std::vector demands, std::vector > costs) - : - sr_allocations(caps.size()), - sr_costs(costs), - s_demands(demands), - r_capacities(caps), - r_costs(caps.size(), 0.0), - r_parents(caps.size(), null_ind), - r_sources(caps.size(), null_ind), - arc_capacities(caps), - best_interregions_costs(caps.size(), std::vector >(caps.size())), - dijkstra_cnt(0) - { - assert(caps.size() > 0); - assert(costs.size() == caps.size()); - dijkstra_update(); - } - - std::vector > get_allocations() const{ return sr_allocations; } - index_t get_iterations_cnt() const { return dijkstra_cnt; } -}; - -const index_t current_allocation::null_ind = std::numeric_limits::max(); - -void current_allocation::update_edge(index_t r1, index_t r2){ - while(not best_interregions_costs[r1][r2].empty() and sr_allocations[r1][best_interregions_costs[r1][r2].top().source] == 0){ - best_interregions_costs[r1][r2].pop(); - } - - if(not best_interregions_costs[r1][r2].empty()){ - // There is an edge - movable_source cur = best_interregions_costs[r1][r2].top(); - float_t new_cost = r_costs[r2] + cur.cost; - if(new_cost < r_costs[r1]){ - r_costs[r1] = cur.cost; - r_sources[r1] = cur.source; - r_parents[r1] = r2; - arc_capacities[r1] = sr_allocations[r1][cur.source]; - } - } -} - -bool current_allocation::add_source_to_heaps(index_t r, index_t source){ - bool need_rerun = false; - for(index_t i=0; i > interregion_costs(region_cnt()); - for(index_t i=0; i 0){ - for(index_t oreg=0; oreg(interregion_costs[oreg].begin(), interregion_costs[oreg].end()); - } -} - -// Returns if the path has been modified so that we would need to rerun Dijkstra -bool current_allocation::push_edge(index_t reg, capacity_t flow){ - index_t cur_source = r_sources[reg]; - - // Does this edge allocates a new source in the destination region? If yes, update the corresponding heaps - bool already_present = sr_allocations[r_parents[reg]][cur_source] > 0; - - // Deallocating from the first region is handled by the get_edge function: just substract the flow - sr_allocations[ reg ][cur_source] -= flow; - sr_allocations[r_parents[reg]][cur_source] += flow; - - assert(sr_allocations[reg][cur_source] >= 0); // The source to be pushed was indeed present in the region - assert(r_capacities[reg] == 0); // The region is full, which explains why we need to push - assert(flow <= arc_capacities[reg]); // The flow is not bigger than what can be sent - - arc_capacities[reg] = sr_allocations[reg][cur_source]; // Just update the capacity if it turns out that we don't need to run Dijkstra - - if(arc_capacities[reg] == 0){ - // The source may have been deleted from a region: rerun Dijkstra at the end - return true; - } - else if(not already_present and r_capacities[r_parents[reg]] == 0){ - // A new source is allocated to a full region: rerun Dijkstra at the end if it changed the heap's top - return add_source_to_heaps(r_parents[reg], cur_source); - } - else{ - // The edge is still present with the same cost and non-zero updated capacity - // The path still exists: no need to rerun Dijkstra yet - return false; - } -} - -void current_allocation::dijkstra_update(){ - // Simple case of the regions with remaining capacity - std::vector visited(region_cnt(), 0); - index_t visited_cnt = 0; - for(index_t i=0; i 0){ - r_costs[i] = 0.0; - arc_capacities[i] = r_capacities[i]; - - visited[i] = 1; - ++visited_cnt; - } - else{ - r_costs[i] = std::numeric_limits::infinity(); - arc_capacities[i] = 0; - } - } - // if(visited_cnt <= 0) throw std::runtime_error("Capacity problem: no region has been marked as reachable\n"); - if(visited_cnt == region_cnt()){ return; } - // Get the costs for every non-visited region - for(index_t i=0; i::infinity(); - for(index_t i=0; i 0); - assert(arc_capacities[reg] == r_capacities[reg]); - assert(r_capacities[reg] >= flow); - - // Update the capacities at the end - r_capacities[reg] -= flow; - arc_capacities[reg] -= flow; - - // The last region on the path is the one that satisfies the demand - if(r_capacities[reg] == 0){ // If we just consumed the available capacity, it becomes useful to move sources off this region: build the heap - create_heaps(reg); - rerun_dijkstra = true; - } - - assert(flow > 0); - - // If an edge changes cost or a region is full, - // we need to update the costs, parents, sources and arc_capacities using a Dijkstra - // but later - return rerun_dijkstra; -} - -void current_allocation::add_source(index_t elt_ind){ //capacity_t demand, std::vector const & costs){ - for(index_t i=0; i 0){ - // In case we modified the structures earlier - if(need_rerun){ - dijkstra_update(); - need_rerun = false; - } - - ++ dijkstra_cnt; - index_t best_reg = null_ind; - float_t best_cost = std::numeric_limits::infinity(); - for(index_t reg=0; reg 0){ - need_rerun = add_source_to_heaps(i, elt_ind) or need_rerun; - } - } - // We leave a clean set with correct paths for the next iteration - if(need_rerun) - dijkstra_update(); -} - -} // End anonymous namespace - -std::vector > transport_generic(std::vector const & capacities, std::vector const & demands, std::vector > const & costs){ - current_allocation transporter(capacities, demands, costs); - - for(index_t i=0; i const & widths, std::vector > const & ranges, std::vector bounds, std::vector const & const_slopes, std::vector & positions){ - std::sort(bounds.begin(), bounds.end()); - - struct bound{ - int_t abs_pos; - int_t slope_diff; - - bool operator<(bound const o) const{ return abs_pos < o.abs_pos; } - bound(int_t p, int_t s) : abs_pos(p), slope_diff(s) {} - }; - std::priority_queue prio_queue; - - std::vector prev_widths(widths.size()+1, 0); - std::partial_sum(widths.begin(), widths.end(), std::next(prev_widths.begin())); - - std::vector constraining_pos(widths.size()); - - int_t lower_lim = std::numeric_limits::min(); - for(index_t i=0, j=0; i 0 or prio_queue.top().abs_pos > upper_lim)){ - cur_slope -= prio_queue.top().slope_diff; - cur_pos = prio_queue.top().abs_pos; - prio_queue.pop(); - } - int_t final_abs_pos = std::max(std::min(cur_pos, upper_lim), lower_lim); - constraining_pos[i] = final_abs_pos; - if(cur_slope < 0){ - prio_queue.push(bound(final_abs_pos, -cur_slope)); - } - } - - positions.resize(constraining_pos.size()); - std::partial_sum(constraining_pos.rbegin(), constraining_pos.rend(), positions.rbegin(), [](int_t a, int_t b)->int_t{ return std::min(a,b); }); - for(index_t i=0; i const & widths, std::vector > const & ranges, std::vector const & flippables, std::vector bounds, std::vector const & const_slopes, std::vector & positions, std::vector & flippings){ - flippings = std::vector(positions.size(), 0); - return place_convex_single_row(widths, ranges, bounds, const_slopes, positions); -} - -} // Namespace coloquinte - diff --git a/coloquinte/src/orientation.cxx b/coloquinte/src/orientation.cxx deleted file mode 100644 index a545badb..00000000 --- a/coloquinte/src/orientation.cxx +++ /dev/null @@ -1,166 +0,0 @@ -#include "coloquinte/circuit_helper.hxx" - -#include -#include -#include - -namespace coloquinte{ -namespace gp{ - -namespace{ -//index_t const null_ind = std::numeric_limits::max(); - -inline void opt_orient(netlist const & circuit, placement_t & pl, std::function)> i_coor, std::function &)> b_coor,mask_t FLIPPABLE){ - std::stack opt_cells; - for(index_t cell_ind = 0; cell_ind < circuit.cell_cnt(); ++cell_ind){ - if( (circuit.get_cell(cell_ind).attributes & FLIPPABLE) != 0) - opt_cells.push(cell_ind); - } - while(not opt_cells.empty()){ - index_t cell_ind = opt_cells.top(); opt_cells.pop(); - assert((circuit.get_cell(cell_ind).attributes & FLIPPABLE) != 0); - - // What is the current orientation? - bool old_orientation = b_coor(pl.orientations_[cell_ind]); - int_t pos = i_coor(pl.positions_[cell_ind]); - int_t size = i_coor(circuit.get_cell(cell_ind).size); - - // Check both orientations of the cell - std::vector involved_nets; - for(netlist::pin_t p : circuit.get_cell(cell_ind)){ - involved_nets.push_back(p.net_ind); - } - // Deal with cells with multiple pins in one net (uniquify) - std::sort(involved_nets.begin(), involved_nets.end()); - involved_nets.resize(std::distance(involved_nets.begin(), std::unique(involved_nets.begin(), involved_nets.end()))); - - std::int64_t p_cost = 0, n_cost = 0; - std::vector extreme_elements; - for(index_t n : involved_nets){ - std::vector other_pins; - std::vector offsets; - for(auto p : circuit.get_net(n)){ - if(p.cell_ind != cell_ind){ - other_pins.push_back(pin_1D( - p.cell_ind, - i_coor(pl.positions_[p.cell_ind]) - + (b_coor(pl.orientations_[p.cell_ind]) ? i_coor(p.offset) : i_coor(circuit.get_cell(p.cell_ind).size) - i_coor(p.offset)), - 0, // Don't care about the offset - (circuit.get_cell(p.cell_ind).attributes & FLIPPABLE) != 0) - ); - } - else{ - offsets.push_back(i_coor(p.offset)); - } - } - assert(offsets.size() > 0); - if(other_pins.size() > 0){ // Else the orientation of the cell doesn't change anything - auto minmaxC = std::minmax_element(other_pins.begin(), other_pins.end()); - auto minmaxO = std::minmax_element(offsets.begin(), offsets.end()); - p_cost += std::max(pos + *minmaxO.second, minmaxC.second->pos) - std::min(pos + *minmaxO.first, minmaxC.first->pos); - n_cost += std::max(pos + size - *minmaxO.first, minmaxC.second->pos) - std::min(pos + size - *minmaxO.second, minmaxC.first->pos); - - int_t min_pin_pos = std::min(pos + *minmaxO.second, pos + size - *minmaxO.first), - max_pin_pos = std::max(pos + *minmaxO.second, pos + size - *minmaxO.first); - - // Do the extreme elements change between the two positions? - if(minmaxC.second->movable - and (minmaxC.second->pos < max_pin_pos) - and (minmaxC.second->pos > min_pin_pos) ){ - extreme_elements.push_back(minmaxC.second->cell_ind); - } - if(minmaxC.first->movable - and (minmaxC.first->pos < max_pin_pos) - and (minmaxC.first->pos > min_pin_pos) ){ - extreme_elements.push_back(minmaxC.first->cell_ind); - } - } - } - - if(p_cost < n_cost) - b_coor(pl.orientations_[cell_ind]) = true; - if(p_cost > n_cost) - b_coor(pl.orientations_[cell_ind]) = false; - - // If we changed the orientation, check the extreme pins which changed and try their cells again - if(b_coor(pl.orientations_[cell_ind]) != old_orientation){ - std::sort(extreme_elements.begin(), extreme_elements.end()); - extreme_elements.resize(std::distance(extreme_elements.begin(), std::unique(extreme_elements.begin(), extreme_elements.end()))); - for(index_t extreme_cell : extreme_elements){ - if( (circuit.get_cell(extreme_cell).attributes & FLIPPABLE) != 0) - opt_cells.push(extreme_cell); - } - } - } -} -/* -inline void spread_orient(netlist const & circuit, placement_t & pl, std::function &)> coor, mask_t FLIPPABLE){ - std::vector weights(circuit.cell_cnt(), 0.0); - for(index_t n=0; n max_pos){ - max_pos = pos; - max_ind = p.cell_ind; - max_offs = coor(p.offset); - } - } - else{ - float_t pos = coor(pl.positions_[p.cell_ind]) + coor(pl.orientations_[p.cell_ind]) * coor(p.offset); - if(pos < min_pos){ - min_pos = pos; - min_ind = null_ind; - } - if(pos > max_pos){ - max_pos = pos; - max_ind = null_ind; - } - } - } - - float_t net_weight = circuit.get_net(n).weight; - - if(min_ind != null_ind) weights[min_ind] += net_weight * min_offs; - if(max_ind != null_ind) weights[max_ind] -= net_weight * max_offs; - } - - for(index_t c=0; c= 0.0) ? 1.0 : -1.0; - } -} -*/ -} // End anonymous namespace - -void optimize_x_orientations(netlist const & circuit, placement_t & pl){ - opt_orient(circuit, pl, [](point p) -> int_t { return p.x; }, [](point & p) -> bool & { return p.x; }, XFlippable); -} -void optimize_y_orientations(netlist const & circuit, placement_t & pl){ - opt_orient(circuit, pl, [](point p) -> int_t { return p.y; }, [](point & p) -> bool & { return p.y; }, YFlippable); -} - -// Iteratively optimize feasible orientations; performs only one pass -void optimize_exact_orientations(netlist const & circuit, placement_t & pl){ - optimize_x_orientations(circuit, pl); - optimize_y_orientations(circuit, pl); -} - -/* -void spread_orientations(netlist const & circuit, placement_t & pl){ - spread_orient(circuit, pl, [](point & p) -> float_t & { return p.x; }, XFlippable); - spread_orient(circuit, pl, [](point & p) -> float_t & { return p.y; }, YFlippable); -} -*/ - -} // namespace gp -} // namespace coloquinte - - diff --git a/coloquinte/src/piecewise_linear.cxx b/coloquinte/src/piecewise_linear.cxx deleted file mode 100644 index 84130cda..00000000 --- a/coloquinte/src/piecewise_linear.cxx +++ /dev/null @@ -1,260 +0,0 @@ - -#include "coloquinte/piecewise_linear.hxx" - -#include -#include - -namespace coloquinte{ - -namespace{ - -struct pl_edge{ - p_v f, s; - - static void push_intersections(pl_edge a, pl_edge b, piecewise_linear_function & lf){ - // Strict, because it makes everything easier - //assert(a.f.first < b.s.first and a.s.first > b.f.first); - //assert(a.f.first < a.s.first and b.f.first < b.s.first); - assert(a.f.first <= b.s.first and a.s.first >= b.f.first); - assert(a.f.first <= a.s.first and b.f.first <= b.s.first); - - // ra = (a.s.second - a.f.second) / (a.s.first - a.f.first) - // xintersect = (yb - ya - xb * rb + xa * ra) / (ra - rb) - - double ra = static_cast(a.s.second - a.f.second) / (a.s.first - a.f.first); - double rb = static_cast(b.s.second - b.f.second) / (b.s.first - b.f.first); - - double xintersect = (b.f.second - a.f.second - rb * b.f.first + ra * a.f.first) / (ra - rb); - if( not xintersect ) return; - - int_t pos = xintersect; - if( std::ceil(xintersect) == std::floor(xintersect) ){ // Exact integer intersection - if(pos > std::max(a.f.first, b.f.first) and pos < std::min(a.s.first, b.s.first) ){ // Necessarily smaller than s.first due to the previous condition - lf.point_values.push_back(p_v(pos, a.value_at(pos))); - } - } - else{ // Non exact intersection: create two integers since I don't want to mess with floating point - int_t pos1 = pos; - int_t pos2 = pos + 1; - // Value_at is only an approximation, but it shouldn't be too bad - if(pos1 > std::max(a.f.first, b.f.first) and pos1 < std::min(a.s.first, b.s.first)) - lf.point_values.push_back(p_v(pos1, std::min(a.value_at(pos1), b.value_at(pos1)))); - if(pos2 > std::max(a.f.first, b.f.first) and pos2 < std::min(a.s.first, b.s.first)) - lf.point_values.push_back(p_v(pos2, std::min(a.value_at(pos2), b.value_at(pos2)))); - } - } - - // Lower-rounded value - int_t value_at(int_t pos) const{ - assert(pos >= f.first and pos <= s.first and s.first > f.first); - return (static_cast(f.second) * (s.first - pos) + static_cast(s.second) * (pos - f.first)) / (s.first - f.first); - } - // Lower-rounded value - int_t pos_at(int_t val) const{ - assert(val <= std::max(f.second, s.second) and val >= std::min(f.second, s.second)); - assert(f.second != s.second); - return (static_cast(f.first) * (s.second - val) + static_cast(s.first) * (val - f.second)) / (s.second - f.second); - } - - bool above(p_v const o) const{ - int_t pos = o.first; - assert(pos > f.first and pos < s.first); - return (static_cast(f.second) * (s.first - pos) + static_cast(s.second) * (pos - f.first)) > o.second * (s.first - f.first); - } - - pl_edge(p_v a, p_v b) : f(a), s(b) {} -}; -} // End anonymous namespace - -void piecewise_linear_function::add_monotone(int_t slope, int_t offset){ - for(auto & V : point_values){ - // Offset taken into account here, multiplied with the slope - V.second += slope * (V.first - point_values.front().first - offset); - } -} - -void piecewise_linear_function::add_bislope(int_t s_l, int_t s_r, int_t pos){ - //assert(pos <= point_values.back().first); - //assert(pos >= point_values.front().first); - -/* - if(pos >= point_values.back().first){ - add_monotone(s_l, pos - point_values.front().first); - } - else if(pos <= point_values.front().first){ - add_monotone(s_r, pos - point_values.front().first); - } - else{ - auto it = point_values.begin(); - while(it->first < pos){ - it->second += s_l * (it->first - pos); - ++it; - assert(it != point_values.end()); - } - if(it->first != pos){ - point_values.insert(it, p_v(pos, pl_edge(*std::prev(it), *it).value_at(pos))); - } - for(auto & V : point_values){ - if(V.first > pos) - V.second += s_r * (V.first - pos); - } - } -*/ - - auto it = std::lower_bound(point_values.begin(), point_values.end(), pos, [](p_v o, int_t v){ return o.first < v; }); - if(it != point_values.end() and it->first != pos and it != point_values.begin()){ - assert(it->first > pos); - point_values.insert(it, p_v(pos, pl_edge(*std::prev(it), *it).value_at(pos))); - } - - for(auto & V : point_values){ - if(V.first > pos) - V.second += s_r * (V.first - pos); - if(V.first < pos) - V.second += s_l * (V.first - pos); - } -} - -piecewise_linear_function::piecewise_linear_function(int_t min_def, int_t max_def){ - point_values.push_back(p_v(min_def, 0)); - point_values.push_back(p_v(max_def, 0)); -} - -piecewise_linear_function piecewise_linear_function::previous_min() const{ - - piecewise_linear_function ret; - - assert(not point_values.empty()); - - auto it = point_values.begin(); - ret.point_values.push_back(*it); - ++it; - // Use the previous minimum to detect when we find something smaller - for(; it != point_values.end(); ++it){ - int_t cur_min = ret.point_values.back().second; - assert(it->first >= ret.point_values.back().first); - if(it->second < cur_min){ - if(std::prev(it)->first != ret.point_values.back().first){ // May be equal, in which case we don't need to push anything new - int_t pos = pl_edge(*std::prev(it), *it).pos_at(cur_min); - if(pos != ret.point_values.back().first and pos != it->first){ - ret.point_values.push_back(p_v(pos, cur_min)); - } - } - ret.point_values.push_back(*it); - } - } - return ret; -} - -piecewise_linear_function piecewise_linear_function::previous_min_of_sum(piecewise_linear_function const & a, int_t shift) const{ - piecewise_linear_function ret; - - // Go to the correct definition - auto b_begin = point_values.begin(), a_begin = a.point_values.begin(); - auto b_it = b_begin, a_it = a_begin; - auto b_end = point_values.end(), a_end = a.point_values.end(); - - while(a_it != a_end){ - if(b_it == b_end or a_it->first < b_it->first+shift){ // Ok, create an edge and calculate the value - if(b_it != b_begin){ - int_t value; - if(b_it != b_end){ - pl_edge b_edge(*std::prev(b_it), *b_it); - value = b_edge.value_at(a_it->first-shift); - } - else{ - value = point_values.back().second; - } - ret.point_values.push_back(p_v(a_it->first, a_it->second + value)); - } - ++a_it; - } - else if(a_it->first > b_it->first+shift){ - if(a_it != a_begin){ - pl_edge a_edge(*std::prev(a_it), *a_it); - int_t value = a_edge.value_at(b_it->first+shift); - ret.point_values.push_back(p_v(b_it->first+shift, b_it->second + value)); - } - ++b_it; - } - else{ // if(a_it->first == b_it->first+shift){ - ret.point_values.push_back(p_v(a_it->first, a_it->second + b_it->second)); - ++a_it; - ++b_it; - } - } - - return ret.previous_min(); -} - - -int_t piecewise_linear_function::last_before(int_t pos) const{ - auto it = point_values.rbegin(); - while(it != point_values.rend()){ - if(it->first <= pos){ - if(it != point_values.rbegin() and std::prev(it)->first > pos){ // On a negative slope - return pos; - } - else{ - return it->first; // First point or not mapped to a negative slope in the original function - } - } - ++it; - } - assert(false); // We should have found it if the bound was correct - return -1; -} - -int_t piecewise_linear_function::value_at(int_t pos) const{ - // First position bigger or equal than pos - auto it = std::lower_bound(point_values.begin(), point_values.end(), pos, [](p_v o, int_t v){ return o.first < v; }); - if(pos != it->first){ - assert(it != point_values.begin()); - return pl_edge(*std::prev(it), *it).value_at(pos); - } - else{ - return it->second; - } -} - -piecewise_linear_function piecewise_linear_function::piecewise_linear_function::minimum(piecewise_linear_function const & a, piecewise_linear_function const & b){ - assert(a.point_values.front().first == b.point_values.front().first); - assert(a.point_values.back().first == b.point_values.back().first); - - piecewise_linear_function ret; - auto a_it = a.point_values.begin(), b_it = b.point_values.begin(); - auto a_end = a.point_values.end(), b_end = b.point_values.end(); - - ret.point_values.push_back(p_v(a_it->first, std::min(a_it->second, b_it->second))); - - assert(std::next(a_it) != a_end and std::next(b_it) != b_end); - while(std::next(a_it) != a_end and std::next(b_it) != b_end){ - pl_edge a_edge(*a_it, *std::next(a_it)), b_edge(*b_it, *std::next(b_it)); - // Three cases: one of them always below, or both intersect - // Both intersect: we push the values when intersecting - pl_edge::push_intersections(a_edge, b_edge, ret); - - // In any case, we push the value of the one below if it finishes, and increment the iterator - if(a_edge.s.first < b_edge.s.first){ - ++a_it; - if(b_edge.above(a_edge.s)){ // We push a_edge.s - ret.point_values.push_back(a_edge.s); - } - } - else if(a_edge.s.first > b_edge.s.first){ - ++b_it; - if(a_edge.above(b_edge.s)){ // We push a_edge.s - ret.point_values.push_back(b_edge.s); - } - } - else{ - ret.point_values.push_back(p_v(a_edge.s.first, std::min(a_edge.s.second, b_edge.s.second))); - ++a_it; - ++b_it; - } - } - return ret; -} - -} // End namespace coloquinte - diff --git a/coloquinte/src/rough_legalizers.cxx b/coloquinte/src/rough_legalizers.cxx deleted file mode 100644 index e0d01a74..00000000 --- a/coloquinte/src/rough_legalizers.cxx +++ /dev/null @@ -1,1081 +0,0 @@ - -#include "coloquinte/rough_legalizers.hxx" -#include "coloquinte/optimization_subproblems.hxx" - -#include -#include -#include -#include -#include - -namespace coloquinte{ -namespace gp{ - - using std::cerr; - using std::endl; - -namespace{ - const capacity_t default_density_mul = 256; -} - -void region_distribution::just_uniquify(std::vector & cell_references){ - if(cell_references.size() >= 1){ - index_t j=0; - cell_ref prev_cell = cell_references[0]; - for(auto it = cell_references.begin()+1; it != cell_references.end(); ++it){ - if(it->index_in_list_ == prev_cell.index_in_list_){ - prev_cell.allocated_capacity_ += it->allocated_capacity_; - } - else{ - cell_references[j] = prev_cell; - ++j; - prev_cell = *it; - } - } - cell_references[j]=prev_cell; - cell_references.resize(j+1); - } -} - -void region_distribution::sort_uniquify(std::vector & cell_references){ - std::sort(cell_references.begin(), cell_references.end(), [](cell_ref a, cell_ref b){ return a.index_in_list_ < b.index_in_list_; }); - just_uniquify(cell_references); -} - -void region_distribution::region::uniquify_references(){ - sort_uniquify(cell_references_); -} - -void region_distribution::fractions_minimization(){ - for(region & R : placement_regions_){ - R.uniquify_references(); - } - - // Find cycles of cut cells, then find a spanning tree to reallocate the cells - // TODO -} - -void region_distribution::region::selfcheck() const{ - capacity_t total_allocated = 0; - for(cell_ref const c : cell_references_){ - total_allocated += c.allocated_capacity_; - assert(c.allocated_capacity_ > 0); - } - assert(total_allocated <= capacity_); -} - -void region_distribution::selfcheck() const{ - for(region const & R : placement_regions_){ - R.selfcheck(); - } - std::vector capacities(cell_list_.size(), 0); - for(region const & R : placement_regions_){ - for(cell_ref const C : R.cell_references_){ - capacities[C.index_in_list_] += C.allocated_capacity_; - } - } - for(index_t i=0; i < cell_list_.size(); ++i){ - assert(capacities[i] == cell_list_[i].demand_ * cell_density_mul); - } -} - -region_distribution::region::region(capacity_t cap, point pos, std::vector cells) : capacity_(cap), pos_(pos), cell_references_(cells){} - -box region_distribution::get_box(index_t x, index_t y, index_t x_cnt, index_t y_cnt) const{ - auto ret = box( - placement_area_.x_min + ( ((std::int64_t) (placement_area_.x_max - placement_area_.x_min)) * x ) / x_cnt, - placement_area_.x_min + ( ((std::int64_t) (placement_area_.x_max - placement_area_.x_min)) * (x+1) ) / x_cnt, - placement_area_.y_min + ( ((std::int64_t) (placement_area_.y_max - placement_area_.y_min)) * y ) / y_cnt, - placement_area_.y_min + ( ((std::int64_t) (placement_area_.y_max - placement_area_.y_min)) * (y+1) ) / y_cnt - ); - //assert(not ret.empty()); - return ret; -} - -std::vector region_distribution::prepare_regions(index_t x_cnt, index_t y_cnt) const{ - assert(placement_area_.x_max > placement_area_.x_min); - assert(placement_area_.y_max > placement_area_.y_min); - - // Uses a sweepline algorithm to initialize all regions' capacities at a time, taking macros and density maps into account - - // The events in the priority queue: basically a density_limit object, but the y_min may be different from the original one - struct event{ - box box_; - capacity_t multiplicator_; - bool operator<(event const o) const{ - return box_.y_min > o.box_.y_min // Priority queue = highest first - or (box_.y_min == o.box_.y_min and multiplicator_ > o.multiplicator_); // Smallest density first, just because - } - event(box surface, capacity_t den) : box_(surface), multiplicator_(den) {} - event(density_limit D, capacity_t density_mul) : box_(D.box_) { - multiplicator_ = static_cast(std::ceil(D.density_ * static_cast(density_mul))); - } - }; - - struct line_y{ - int_t y_min, y_max; - capacity_t multiplicator_; - line_y(int_t mn, int_t mx, capacity_t cap) : y_min(mn), y_max(mx), multiplicator_(cap) {} - }; - - // The regions' capacities - std::vector region_caps(x_cnt * y_cnt, 0); - - // Find the limits of the regions - std::vector x_reg_lims(x_cnt+1), y_reg_lims(y_cnt+1); - for(index_t i=0; i<=x_cnt; ++i){ - x_reg_lims[i] = placement_area_.x_min + ( ((std::int64_t) (placement_area_.x_max - placement_area_.x_min)) * i ) / x_cnt; - } - for(index_t i=0; i<=y_cnt; ++i){ - y_reg_lims[i] = placement_area_.y_min + ( ((std::int64_t) (placement_area_.y_max - placement_area_.y_min)) * i ) / y_cnt; - } - - //std::vector > added; - - auto add_region = [&](box bx, capacity_t d){ - /* - // Failed attempt at calculating the coordinates directly - point dims = placement_area_.dimensions(); - auto mins = point(placement_area_.x_min, placement_area_.y_min); - - index_t x_mn = (static_cast(bx.x_min - mins.x + 1) * x_cnt) / dims.x, - x_mx = (static_cast(bx.x_max - mins.x - 1) * x_cnt) / dims.x + 1, - y_mn = (static_cast(bx.y_min - mins.y + 1) * y_cnt) / dims.y, - y_mx = (static_cast(bx.y_max - mins.y - 1) * y_cnt) / dims.y + 1; - */ - - /* - // Additional debugging - for(index_t k=0; k= placement_area_.x_min); - assert(bx.y_min >= placement_area_.y_min); - assert(bx.x_max <= placement_area_.x_max); - assert(bx.y_max <= placement_area_.y_max); - - index_t x_mn = std::upper_bound(x_reg_lims.begin(), x_reg_lims.end(), bx.x_min) - x_reg_lims.begin() -1, - y_mn = std::upper_bound(y_reg_lims.begin(), y_reg_lims.end(), bx.y_min) - y_reg_lims.begin() -1, - x_mx = std::lower_bound(x_reg_lims.begin(), x_reg_lims.end(), bx.x_max) - x_reg_lims.begin(), - y_mx = std::lower_bound(y_reg_lims.begin(), y_reg_lims.end(), bx.y_max) - y_reg_lims.begin(); - - for(index_t x=x_mn; x cur_box = get_box(x, y, x_cnt, y_cnt); - assert(bx.intersects(cur_box)); - box inter = bx.intersection(cur_box); - point dims = inter.dimensions(); - region_caps[y*x_cnt + x] += d * static_cast(dims.x) * static_cast(dims.y); - } - } - }; - - // All rectangles and new rectangles are pushed there - std::priority_queue events; - - for(density_limit D : density_map_){ - // Keep only the useful parts of the rectangles to simplify the algorithm - if(D.box_.intersects(placement_area_)){ - density_limit pushed; - pushed.density_ = D.density_; - pushed.box_ = D.box_.intersection(placement_area_); - assert(not pushed.box_.empty()); // always true with this definition of intersects - events.push(event(pushed, full_density_mul)); - } - } - - // The initial sweepline, with begin and end of the line - std::map active_obstacles; - - line_y placement_begin (placement_area_.y_min, placement_area_.y_max, full_density_mul), - placement_end (placement_area_.y_min, placement_area_.y_max, 0); - - active_obstacles.insert(std::pair(placement_area_.x_min, placement_begin)); // Full density placement area as initial object - active_obstacles.insert(std::pair(placement_area_.x_max, placement_end)); - - - // Main loop: sweep the line on y (the line is horizontal, and moves toward bigger y) - while(not events.empty()){ - event D = events.top(); - int_t x_b=D.box_.x_min, x_e=D.box_.x_max; - int_t y_b=D.box_.y_min, y_e=D.box_.y_max; - events.pop(); - - assert(x_b >= placement_area_.x_min); - assert(y_b >= placement_area_.y_min); - assert(x_e <= placement_area_.x_max); - assert(y_e <= placement_area_.y_max); - - // For each delimitation between the bounds of the new rectangle - // If the new delimitation has higher density or this delimitation ends on y there - // Remove it, push a new event if it ends on y after this rectangle - // Else: - // Keep it, push a new event if it ends on y before this rectangle - - // Find covered or partially covered rectangles on the line (rectangles on the line don't overlap) - line_y const new_elt(y_b, y_e, D.multiplicator_); - std::vector new_delimitations; - - // First element on the line whose x is after our x_min (i.e. may have an intersection), and while there is an intersection - auto first_it = active_obstacles.upper_bound(x_b); - assert(first_it != active_obstacles.begin()); - assert(std::prev(first_it)->first <= x_b); - - bool currently_in = false; - for(auto it = std::prev(first_it); it != active_obstacles.end() and it->first < x_e;){ - auto next_it = std::next(it); - assert(next_it != active_obstacles.end()); - assert(it->second.y_min <= y_b); - assert(it->second.y_max >= y_b); - assert(it->first < x_e); - assert(next_it->first > x_b); - assert(next_it-> first > it->first); - - int_t x_c_min = std::max(x_b, it->first), - x_c_max = std::min(x_e, next_it->first); - assert(x_c_min < x_c_max); - // Add the area from it->second.y_min to D.box_.y_min - if(y_b > it->second.y_min) - add_region(box(it->first, next_it->first, it->second.y_min, y_b), it->second.multiplicator_); - it->second.y_min = y_b; // Now the part before has been used - - auto part_b = *it, part_e = *next_it; - - if(part_b.second.multiplicator_ > D.multiplicator_ or part_b.second.y_max == y_b){ // The new event is visible now - - // In case parts of the line become visible again later - if(part_b.second.y_max > y_e){ // Push back a new event to account for the comeback - events.push(event(box(x_c_min, x_c_max, y_e, part_b.second.y_max), part_b.second.multiplicator_)); - } - - // Depending whether this part of the line is or is not fully covered - if(part_b.first >= x_b){ // If covered at the beginning - active_obstacles.erase(it); - } - if(part_e.first > x_e){ // If not covered at the end - auto inserted = active_obstacles.insert(std::pair(x_e, part_b.second)); - assert(inserted.second); - } - - // The events becomes visible on the line - if(not currently_in){ - auto inserted = active_obstacles.insert(std::pair(x_c_min, new_elt)); - assert(inserted.second); - } - currently_in = true; - } - else{ // The new event is not visible yet - currently_in = false; - if(part_b.second.y_max < y_e){ // Push back a new event - events.push(event(box(x_c_min, x_c_max, part_b.second.y_max, y_e), D.multiplicator_)); - } - } - - it = next_it; - } - } - for(auto it=active_obstacles.begin(); std::next(it) != active_obstacles.end(); ++it){ - assert(it->second.y_max == placement_area_.y_max); - add_region(box(it->first, std::next(it)->first, it->second.y_min, it->second.y_max), it->second.multiplicator_); - } - - std::vector ret(x_cnt*y_cnt); - for(index_t y=0; y bx = get_box(x, y, x_cnt, y_cnt); - ret[y*x_cnt + x] = region( - region_caps[y*x_cnt + x], - point(0.5f * bx.x_min + 0.5f * bx.x_max, 0.5f * bx.y_min + 0.5f * bx.y_max), - std::vector() - ); - } - } - return ret; -} - -void region_distribution::x_bipartition(){ - std::vector old_placement_regions = prepare_regions(2*x_regions_cnt(), y_regions_cnt()); - placement_regions_.swap(old_placement_regions); - - index_t old_x_regions_cnt = x_regions_cnt(); - index_t old_y_regions_cnt = y_regions_cnt(); - x_regions_cnt_ *= 2; - - for(index_t x=0; x < old_x_regions_cnt; ++x){ - for(index_t y=0; y < old_y_regions_cnt; ++y){ - index_t i = y * old_x_regions_cnt + x; - old_placement_regions[i].distribute_cells(get_region(2*x, y), get_region(2*x+1, y)); - } - } -} - -void region_distribution::y_bipartition(){ - std::vector old_placement_regions = prepare_regions(x_regions_cnt(), 2*y_regions_cnt()); - placement_regions_.swap(old_placement_regions); - - index_t old_x_regions_cnt = x_regions_cnt(); - index_t old_y_regions_cnt = y_regions_cnt(); - y_regions_cnt_ *= 2; - - for(index_t x=0; x < old_x_regions_cnt; ++x){ - for(index_t y=0; y < old_y_regions_cnt; ++y){ - index_t i = y * old_x_regions_cnt + x; - old_placement_regions[i].distribute_cells(get_region(x, 2*y), get_region(x, 2*y+1)); - } - } -} - -// The big awful function that handles optimal cell distribution between two regions; not meant to be called externally -void region_distribution::region::distribute_new_cells(region & region_a, region & region_b, std::vector basic_cells){ - struct cost_diff_cell : cell_ref{ - float_t marginal_cost_; - - bool operator<(cost_diff_cell const o) const{ return marginal_cost_ < o.marginal_cost_; } - cost_diff_cell(cell_ref cell, float_t cost) : cell_ref(cell), marginal_cost_(cost) {} - }; - - std::vector cells; - for(cell_ref const c : basic_cells){ - cells.push_back(cost_diff_cell(c, region_a.distance(c) - region_b.distance(c))); - } - - // Cells trending toward a first - std::sort(cells.begin(), cells.end());//, [](cell_ref const c1, cell_ref const c2) -> bool{ return c1.marginal_cost_ < c2.marginal_cost_; }); - - index_t preference_limit=0, // First cell that would rather go to b (or cells.size()) - a_capacity_limit=0, // After the last cell that region_a can take entirely (or 0) - b_capacity_limit=cells.size(); // Last cell (but first in the vector) that region_b can take entirely (or cells.size()) - - capacity_t remaining_capacity_a = region_a.capacity_, remaining_capacity_b = region_b.capacity_; - for(;preference_limit < cells.size() && cells[preference_limit].marginal_cost_ <= 0.0; ++preference_limit) - ; - - { // Block - capacity_t remaining_cap_a = region_a.capacity_; - index_t i=0; - while(i= 0){ - a_capacity_limit = i+1; - remaining_capacity_a = remaining_cap_a; - } - ++i; - } - } // Block - - { // Block - capacity_t remaining_cap_b = region_b.capacity_; - index_t i=cells.size(); - while(i>0){ - --i; - remaining_cap_b -= cells[i].allocated_capacity_; - if(remaining_cap_b >= 0){ - b_capacity_limit = i; - remaining_capacity_b = remaining_cap_b; - } - } - } // Block - - std::vector & cells_a_side = region_a.cell_references_; - std::vector & cells_b_side = region_b.cell_references_; - cells_a_side.clear(); - cells_b_side.clear(); - if(preference_limit >= b_capacity_limit and preference_limit <= a_capacity_limit){ - cells_a_side.insert(cells_a_side.end(), cells.begin(), cells.begin() + preference_limit); - cells_b_side.insert(cells_b_side.end(), cells.begin() + preference_limit, cells.end()); - } - else{ - index_t cut_position; - capacity_t allocated_to_a_part; - - // Where do we cut? - if(preference_limit < b_capacity_limit){ // Pack on b - cut_position = b_capacity_limit-1; // Exists since preference_limit >= 0 - allocated_to_a_part = cells[cut_position].allocated_capacity_ - remaining_capacity_b; - } - else{ // Pack on a - // if(preference_limit > a_capacity_limit) - cut_position = a_capacity_limit; // Necessarily a correct position since preference_limits <= cells.size() - allocated_to_a_part = remaining_capacity_a; - } - - cells_a_side.reserve( cut_position +1); - cells_b_side.reserve(cells.size()-cut_position +1); - - cells_a_side.insert(cells_a_side.end(), cells.begin(), cells.begin() + cut_position); - - cell_ref cell_cut_a = cells[cut_position], cell_cut_b = cells[cut_position]; - cell_cut_a.allocated_capacity_ = allocated_to_a_part; - cell_cut_b.allocated_capacity_ -= allocated_to_a_part; - if(cell_cut_a.allocated_capacity_ > 0){ cells_a_side.push_back(cell_cut_a); } - if(cell_cut_b.allocated_capacity_ > 0){ cells_b_side.push_back(cell_cut_b); } - - cells_b_side.insert(cells_b_side.end(), cells.begin() + cut_position+1, cells.end()); - } -} - -void region_distribution::region::distribute_cells(region & a, region & b) const{ - distribute_new_cells(a, b, cell_references_); - assert(a.allocated_capacity() + b.allocated_capacity() == allocated_capacity()); - assert(a.capacity() + b.capacity() == capacity()); -} - -void region_distribution::region::redistribute_cells(region & Ra, region & Rb){ - if(Ra.capacity() > 0 and Rb.capacity() > 0){ - std::vector cells; - cells.reserve(Ra.cell_references_.size()+Rb.cell_references_.size()); - cells.insert(cells.end(), Ra.cell_references_.begin(), Ra.cell_references_.end()); - cells.insert(cells.end(), Rb.cell_references_.begin(), Rb.cell_references_.end()); - - distribute_new_cells(Ra, Rb, cells); - } -} - -void region_distribution::region::distribute_new_cells(std::vector > regions, std::vector all_cells){ - std::vector caps; - for(region_distribution::region & R : regions){ - caps.push_back(R.capacity_); - R.cell_references_.clear(); - } - - sort_uniquify(all_cells); - std::sort(all_cells.begin(), all_cells.end(), [](cell_ref const a, cell_ref const b){ return a.allocated_capacity_ > b.allocated_capacity_ or (a.allocated_capacity_ == b.allocated_capacity_ and a.pos_.x+a.pos_.y < b.pos_.x+b.pos_.y); }); - - std::vector > costs(regions.size()); - std::vector demands; - for(auto const C : all_cells){ - for(index_t r=0; r > res = transport_generic(caps, demands, costs); - - assert(res.size() == regions.size()); - for(index_t i=0; i 0){ - cell_ref C = all_cells[j]; - C.allocated_capacity_ = res[i][j]; - regions[i].get().cell_references_.push_back(C); - } - } - } - -} - -void region_distribution::region::redistribute_cells(std::vector > regions){ - if(regions.size() > 1){ - std::vector all_cells; - for(region_distribution::region & R : regions){ - all_cells.insert(all_cells.end(), R.cell_references_.begin(), R.cell_references_.end()); - } - distribute_new_cells(regions, all_cells); - } -} - -void region_distribution::region::distribute_cells(std::vector > regions) const{ - distribute_new_cells(regions, cell_references_); -} - -void region_distribution::multipartition(index_t x_width, index_t y_width){ - assert(x_width > 0 and y_width > 0); - - std::vector old_placement_regions = prepare_regions(x_width*x_regions_cnt(), y_width*y_regions_cnt()); - placement_regions_.swap(old_placement_regions); - - index_t old_x_regions_cnt = x_regions_cnt(); - index_t old_y_regions_cnt = y_regions_cnt(); - x_regions_cnt_ *= x_width; - y_regions_cnt_ *= y_width; - - for(index_t x=0; x < old_x_regions_cnt; ++x){ - for(index_t y=0; y < old_y_regions_cnt; ++y){ - - index_t i = y * old_x_regions_cnt + x; - std::vector > destination_regions; - - capacity_t tot_cap = 0; - // Take the new regions - for(index_t l_x=0; l_x(cur_reg)); - tot_cap += cur_reg.capacity(); - } - } - // Distribute the cells - old_placement_regions[i].distribute_cells(destination_regions); - assert(tot_cap == old_placement_regions[i].capacity()); - } - } -} - -void region_distribution::redo_bipartitions(){ - // This function performs optimization between neighbouring regions in various directions - // The most important feature is diagonal optimization, since it is not done during partitioning - redo_diagonal_bipartitions(); - redo_adjacent_bipartitions(); -} - -void region_distribution::redo_diagonal_bipartitions(){ - // Take four cells at a time and optimize them - auto const optimize_quad_diag = [&](index_t x, index_t y){ - region::redistribute_cells(get_region(x, y), get_region(x+1, y+1)); - region::redistribute_cells(get_region(x+1, y), get_region(x, y+1)); - }; - - // x is the fast index: the innermost loop operates on it - auto const optimize_diag_on_y = [&](index_t y){ - for(index_t x=0; x+1 < x_regions_cnt(); x+=2){ - if(x+2 < x_regions_cnt()){ - // x odd - optimize_quad_diag(x+1, y); - } - // x even - optimize_quad_diag(x, y); - } - }; - - // OpenMP doesn't allow y+1 < y_regions_cnt(), but anyway y_regions_cnt() >= 1 - #pragma omp parallel for - for(index_t y=0; y < y_regions_cnt()-1; y+=2){ - // y even - optimize_diag_on_y(y); - } - #pragma omp parallel for - for(index_t y=1; y < y_regions_cnt()-1; y+=2){ - // y odd - optimize_diag_on_y(y); - } -} - -void region_distribution::redo_adjacent_bipartitions(){ - auto const optimize_H = [&](index_t x, index_t y){ - region::redistribute_cells(get_region(x, y), get_region(x+1, y)); - }; - auto const optimize_V = [&](index_t x, index_t y){ - region::redistribute_cells(get_region(x, y), get_region(x, y+1)); - }; - - // x bipartitions - #pragma omp parallel for - for(index_t y=0; y < y_regions_cnt(); ++y){ - for(index_t x=0; x+1 < x_regions_cnt(); x+=2){ - if(x+2 < x_regions_cnt()){ - // x odd - optimize_H(x+1, y); - } - // x even - optimize_H(x, y); - } - } - // y bipartitions - #pragma omp parallel for - for(index_t x=0; x < x_regions_cnt(); ++x){ - for(index_t y=0; y+1 < y_regions_cnt(); y+=2){ - if(y+2 < y_regions_cnt()){ - // y odd - optimize_V(x, y+1); - } - // y even - optimize_V(x, y); - } - } -} - -void region_distribution::redo_multipartitions(index_t x_width, index_t y_width){ - if(x_width < 2 and y_width < 2) throw std::runtime_error("Multipartitioning requires an optimization window of 2 or more\n"); - - auto const reoptimize_group = [&](index_t x, index_t y){ - std::vector > to_opt; - for(index_t l_x=x; l_x < std::min(x+x_width, x_regions_cnt()); ++l_x){ - for(index_t l_y=y; l_y < std::min(y+y_width, y_regions_cnt()); ++l_y){ - to_opt.push_back(std::reference_wrapper(get_region(l_x, l_y))); - } - } - region::redistribute_cells(to_opt); - }; - - auto const optimize_on_y = [&](index_t y){ - for(index_t x=0; x < x_regions_cnt(); x+=x_width){ - if(x+x_width < x_regions_cnt()){ - reoptimize_group(x+x_width/2, y); - } - reoptimize_group(x, y); - } - }; - - for(index_t y=0; y < y_regions_cnt(); y+=y_width){ - if(y+y_width < y_regions_cnt()){ - optimize_on_y(y+y_width/2); - } - optimize_on_y(y); - } -} - -inline void region_distribution::region::distribute_new_cells(std::vector > regions, std::vector cells, std::function)> coord){ - // Gather all cells and the useful regions - std::vector > all_regions; - - for(region & reg_ref : regions){ - if(reg_ref.capacity() > 0){ - cells.insert(cells.end(), reg_ref.cell_references_.begin(), reg_ref.cell_references_.end()); - reg_ref.cell_references_.clear(); - all_regions.push_back(std::reference_wrapper(reg_ref)); - } - else{ - assert(reg_ref.cell_references_.empty()); - } - } - - // Sort the regions by coordinate - std::sort(all_regions.begin(), all_regions.end(), [&](std::reference_wrapper const a, std::reference_wrapper const b){ return coord(a.get().pos_) < coord(b.get().pos_); }); - // And the cells - std::sort(cells.begin(), cells.end(), [&](cell_ref const a, cell_ref const b){ return coord(a.pos_) < coord(b.pos_); }); - just_uniquify(cells); - - std::vector sources, sinks; - for(cell_ref const c : cells){ - sources.push_back(t1D_elt(static_cast(coord(c.pos_)), c.allocated_capacity_)); - } - for(region & reg_ref : all_regions){ - sinks.push_back(t1D_elt(static_cast(coord(reg_ref.pos_)), reg_ref.capacity())); - } - - std::vector const positions = transport_1D(sources, sinks); - - std::vector prev_cap(1, 0); - for(t1D_elt e: sinks){ - assert(e.second > 0); - prev_cap.push_back(prev_cap.back() + e.second); - } - - for(index_t i=0; i= 0); - assert(sources[i].second > 0); - if(i>0) - assert(sources[i-1].second + positions[i-1] <= positions[i]); - } - - for(index_t i=0, r=0; i 0){ - while(prev_cap[r+1] <= cur_pos){ // After the end of region r - ++r; - } - cell_ref new_c = c; - capacity_t used_cap = std::min(prev_cap[r+1] - cur_pos, cur_cap); - new_c.allocated_capacity_ = used_cap; - assert(used_cap >= 0); - if(used_cap > 0){ - all_regions[r].get().cell_references_.push_back(new_c); - } - cur_pos += used_cap; - cur_cap -= used_cap; - } - } -} - -inline void region_distribution::region::redistribute_cells(std::vector > & regions, std::function)> coord){ - std::vector cells; - for(region & reg_ref : regions){ - if(reg_ref.capacity() > 0){ - cells.insert(cells.end(), reg_ref.cell_references_.begin(), reg_ref.cell_references_.end()); - reg_ref.cell_references_.clear(); - } - else{ - assert(reg_ref.cell_references_.empty()); - } - } - distribute_new_cells(regions, cells, coord); -} - -void region_distribution::redo_line_partitions(){ - // Optimize a single line or column - #pragma omp parallel for - for(index_t y=0; y > regs; - for(index_t x=0; x(get_region(x, y))); - } - region::redistribute_cells(regs, [](point p){ return p.x; }); - } - #pragma omp parallel for - for(index_t x=0; x > regs; - for(index_t y=0; y(get_region(x, y))); - } - region::redistribute_cells(regs, [](point p){ return p.y; }); - } -} - -void region_distribution::x_resize(index_t sz){ - assert(sz > 0); - std::vector old_placement_regions = prepare_regions(sz, y_regions_cnt()); - placement_regions_.swap(old_placement_regions); - - index_t old_x_regions_cnt = x_regions_cnt(); - - x_regions_cnt_ = sz; - - #pragma omp parallel for - for(index_t y=0; y cells; - for(index_t x=0; x const & cur = old_placement_regions[y*old_x_regions_cnt + x].cell_references_; - cells.insert(cells.end(), cur.begin(), cur.end()); - } - - std::vector > regs; - for(index_t x=0; x(get_region(x, y))); - } - region::distribute_new_cells(regs, cells, [](point p){ return p.x; }); - } -} - -void region_distribution::y_resize(index_t sz){ - assert(sz > 0); - std::vector old_placement_regions = prepare_regions(x_regions_cnt(), sz); - placement_regions_.swap(old_placement_regions); - - index_t old_y_regions_cnt = y_regions_cnt(); - - y_regions_cnt_ = sz; - - #pragma omp parallel for - for(index_t x=0; x cells; - for(index_t y=0; y const & cur = old_placement_regions[y*x_regions_cnt() + x].cell_references_; - cells.insert(cells.end(), cur.begin(), cur.end()); - } - - std::vector > regs; - for(index_t y=0; y(get_region(x, y))); - } - region::distribute_new_cells(regs, cells, [](point p){ return p.y; }); - } -} - -void region_distribution::redo_diag_partitions(index_t len){ - if(x_regions_cnt() <= 1 or y_regions_cnt() <= 1) return; - - auto const reoptimize_rdiag = [&](index_t x_b, index_t y_b){ - index_t max_delta = std::min(x_regions_cnt()-x_b, y_regions_cnt()-y_b); - for(index_t delta=0; delta+len/2 > to_opt; - for(index_t m=0; m < std::min(max_delta-delta, len); ++m){ - to_opt.push_back(std::reference_wrapper(get_region(x_b+delta+m, y_b+delta+m))); - } - region::redistribute_cells(to_opt); - } - }; - auto const reoptimize_ldiag = [&](index_t x_b, index_t y_b){ - index_t max_delta = std::min(x_regions_cnt()-x_b, y_b+1); - for(index_t delta=0; delta+len/2 > to_opt; - for(index_t m=0; m < std::min(max_delta-delta, len); ++m){ - to_opt.push_back(std::reference_wrapper(get_region(x_b+delta+m, y_b-delta-m))); - } - region::redistribute_cells(to_opt); - } - }; - - for(index_t y=y_regions_cnt()-2; y >= 1; --y) - reoptimize_rdiag(0, y); - for(index_t x=0; x+1 placement_area, - netlist const & circuit, placement_t const & pl, - std::vector const & density_map, bool full_density - ): - x_regions_cnt_(1), - y_regions_cnt_(1), - placement_area_(placement_area), - density_map_(density_map), - full_density_mul(default_density_mul) - { - - capacity_t tot_area = 0; - for(index_t i=0; i >(pl.positions_[i]) + 0.5f * static_cast >(c.size), i)); - tot_area += c.area; - } - else{ // Create an obstacle corresponding to the macro - auto pos = pl.positions_[i]; - auto end = pos + c.size; - density_limit macro; - macro.box_ = box(pos.x, end.x, pos.y, end.y); - macro.density_ = 0.0f; - density_map_.push_back(macro); - } - } - - placement_regions_ = prepare_regions(1, 1); - - if(full_density){ - cell_density_mul = default_density_mul; - } - else{ - cell_density_mul = placement_regions_[0].capacity() / tot_area; - if(cell_density_mul < full_density_mul){ - throw std::runtime_error("The density required by the obstacles is above 1"); - } - } - - for(index_t i=0; i placement_area, netlist const & circuit, placement_t const & pl, std::vector const & density_map){ - return region_distribution(placement_area, circuit, pl, density_map, true); -} -region_distribution region_distribution::uniform_density_distribution(box placement_area, netlist const & circuit, placement_t const & pl, std::vector const & density_map){ - return region_distribution(placement_area, circuit, pl, density_map, false); -} - -void region_distribution::update(netlist const & circuit, placement_t const & pl){ - for(movable_cell & c : cell_list_){ - index_t i = c.index_in_placement_; - c.pos_ = static_cast >(pl.positions_[i]) + 0.5f * static_cast >(circuit.get_cell(i).size); - } - for(region & R : placement_regions_){ - for(cell_ref & c : R.cell_references_){ - c.pos_ = cell_list_[c.index_in_list_].pos_; - } - } -} - -std::vector region_distribution::export_positions() const{ - std::vector > weighted_pos(cell_list_.size(), point(0.0, 0.0)); - - for(region const & R : placement_regions_){ - for(cell_ref C : R.cell_references_){ - weighted_pos[C.index_in_list_] = weighted_pos[C.index_in_list_] + static_cast(C.allocated_capacity_) * R.pos_; - } - } - - std::vector ret; - for(index_t i=0; i(1.0) / static_cast(C.demand_ * cell_density_mul) ) * weighted_pos[i]; - ret.push_back(C); - } - return ret; -} - -struct OSRP_task{ - float_t size; - float_t goal_pos; - float_t weight; - index_t orig; - OSRP_task(float_t p, float_t s, float_t w, index_t i) : size(s), goal_pos(p), weight(w), orig(i) {} - OSRP_task(){} -}; - -std::vector get_optimal_quadratic_pos(std::vector cells, float_t pos_begin, float_t pos_end){ - - if(cells.empty()){ return std::vector(); } - - struct OSRP_cluster{ - index_t begin, end; - float_t pos, size; - float_t weight; - OSRP_cluster(index_t b, index_t e, float_t p, float_t s, float_t w) : begin(b), end(e), pos(p), size(s), weight(w) {} - void merge(OSRP_cluster const o){ - begin = o.begin; - pos = (weight * pos + o.weight * o.pos) / (weight + o.weight); - size += o.size; - weight += o.weight; - } - }; - - std::sort(cells.begin(), cells.end(), [](OSRP_task a, OSRP_task b){ return a.goal_pos < b.goal_pos; }); - - // Modify the goal pos to get absolute goal positions between pos_begin and pos_end - sum_sizes - float_t sum_sizes = 0.0; - for(auto & c : cells){ - c.goal_pos -= sum_sizes; - sum_sizes += c.size; - } - float_t abs_begin = pos_begin + 0.5 * cells[0].size; // First cell must be far enough from the beginning - float_t abs_end = pos_end - sum_sizes + 0.5 * cells[0].size; // Last cell must be far enough from the end - for(auto & c : cells){ - c.goal_pos = std::max(c.goal_pos, abs_begin); - c.goal_pos = std::min(c.goal_pos, abs_end); - } - - std::vector clusters; - for(index_t i=0; i= to_add.pos)){ - to_add.merge(clusters.back()); - clusters.pop_back(); - } - - clusters.push_back(to_add); - } - - std::vector ret(cells.size(), 0.0); - // For every cell, recover its true position from the absolute position of a cluster - float_t sum_prev_sizes = 0.0; - for(OSRP_cluster cur : clusters){ - for(index_t i=cur.begin; i <= cur.end; ++i){ - ret[cells[i].orig] = cur.pos + sum_prev_sizes; - sum_prev_sizes += cells[i].size; - } - } - return ret; -} - -std::vector region_distribution::export_spread_positions_quadratic() const{ - std::vector > weighted_pos(cell_list_.size(), point(0.0, 0.0)); - - for(index_t y=0; y(R.capacity()); - box surface = static_cast >(get_box(x, y, x_regions_cnt(), y_regions_cnt())); - - std::vector x_cells(n), y_cells(n); - for(index_t i=0; i pt = R.cell_references_[i].pos_; - float_t cap = static_cast(R.cell_references_[i].allocated_capacity_); - x_cells[i] = OSRP_task(pt.x, cap/total_capacity * (surface.x_max - surface.x_min), 1.0, i); - y_cells[i] = OSRP_task(pt.y, cap/total_capacity * (surface.y_max - surface.y_min), 1.0, i); - } - std::vector x_ret = get_optimal_quadratic_pos(x_cells, surface.x_min, surface.x_max); - std::vector y_ret = get_optimal_quadratic_pos(y_cells, surface.y_min, surface.y_max); - - for(index_t i=0; i(R.cell_references_[i].allocated_capacity_) - * point(x_ret[i], y_ret[i]); - } - } - } - - std::vector ret; - for(index_t i=0; i 0); - C.pos_ = ( static_cast(1.0) / static_cast(C.demand_) ) * weighted_pos[i]; - assert(std::isfinite(C.pos_.x) and std::isfinite(C.pos_.y)); - ret.push_back(C); - } - return ret; -} - -std::vector region_distribution::export_spread_positions_linear() const{ - std::vector > weighted_pos(cell_list_.size(), point(0.0, 0.0)); - - for(index_t y=0; y(R.capacity()); - box surface = static_cast >(get_box(x, y, x_regions_cnt(), y_regions_cnt())); - //assert(surface.x_max > surface.x_min and surface.y_max > surface.y_min); - - std::vector > x_cells, y_cells; - - for(auto const C : R.cell_references_){ - float_t cap = static_cast(C.allocated_capacity_); - float_t x_cap_prop = cap/total_capacity * (surface.x_max - surface.x_min), - y_cap_prop = cap/total_capacity * (surface.y_max - surface.y_min); - x_cells.push_back(legalizable_task(x_cap_prop, C.pos_.x, C.index_in_list_)); - y_cells.push_back(legalizable_task(y_cap_prop, C.pos_.y, C.index_in_list_)); - } - - OSRP_leg x_leg(surface.x_min, surface.x_max), y_leg(surface.y_min, surface.y_max); - - std::sort(x_cells.begin(), x_cells.end()); - for(legalizable_task & C : x_cells) - C.target_pos -= 0.5 * C.width; - for(legalizable_task & C : x_cells) - x_leg.push(C); - auto x_pl = x_leg.get_placement(); - for(index_t i=0; i(x_cells[i].width * total_capacity / (surface.x_max - surface.x_min)); - } - - std::sort(y_cells.begin(), y_cells.end()); - for(legalizable_task & C : y_cells) - C.target_pos -= 0.5 * C.width; - for(legalizable_task & C : y_cells) - y_leg.push(C); - auto y_pl = y_leg.get_placement(); - for(index_t i=0; i(y_cells[i].width * total_capacity / (surface.y_max - surface.y_min)); - } - } - } - - std::vector ret; - for(index_t i=0; i 0); - C.pos_ = ( 1.0f / static_cast(C.demand_ * cell_density_mul) ) * weighted_pos[i]; - assert(std::isfinite(C.pos_.x) and std::isfinite(C.pos_.y)); - ret.push_back(C); - } - return ret; -} - -float_t region_distribution::region::cost() const{ - float_t res = 0.0; - for(cell_ref const C : cell_references_){ - res += (std::abs(C.pos_.x-pos_.x) + std::abs(C.pos_.y-pos_.y)) * static_cast(C.allocated_capacity_); - } - return res; -} - -float_t region_distribution::cost() const{ - float_t res = 0.0; - capacity_t tot_cap = 0; - for(region const & R : placement_regions_){ - res += R.cost(); - tot_cap += R.allocated_capacity(); - } - // Average over the cells' areas - return res / static_cast(tot_cap); -} - -} // Namespace gp -} // Namespace coloquinte - diff --git a/coloquinte/src/row_opt.cxx b/coloquinte/src/row_opt.cxx deleted file mode 100644 index 5e91c34b..00000000 --- a/coloquinte/src/row_opt.cxx +++ /dev/null @@ -1,599 +0,0 @@ - -#include "coloquinte/detailed.hxx" -#include "coloquinte/circuit_helper.hxx" - -#include "coloquinte/optimization_subproblems.hxx" -#include "coloquinte/union_find.hxx" -#include "coloquinte/piecewise_linear.hxx" - -#include - -#include - -namespace coloquinte{ -namespace dp{ - -namespace{ - -struct minmax{ - int_t min, max; - minmax(){} - minmax(int_t f, int_t s) : min(f), max(s){} - void merge(minmax const o){ - min = std::min(min, o.min); - max = std::max(max, o.max); - } - void merge(int_t const o){ - merge(minmax(o, o)); - } -}; - -struct order_gettr{ - index_t cell_ind, seq_order; - bool operator<(order_gettr const o) const{ return cell_ind < o.cell_ind; } - bool operator<(index_t const o) const{ return cell_ind < o; } - order_gettr(index_t c, index_t i) : cell_ind(c), seq_order(i) {} -}; - -std::vector get_sorted_ordered_cells(std::vector const & cells){ - std::vector ret; - for(index_t i=0; i get_unique_nets(netlist const & circuit, std::vector const & cells){ - std::vector involved_nets; - for(index_t c : cells){ - for(netlist::pin_t p : circuit.get_cell(c)){ - involved_nets.push_back(p.net_ind); - } - } - // Uniquify the nets - std::sort(involved_nets.begin(), involved_nets.end()); - involved_nets.resize(std::distance(involved_nets.begin(), std::unique(involved_nets.begin(), involved_nets.end()))); - return involved_nets; -} - -struct Hnet_group{ - struct Hpin{ - index_t cell_index; // Not indexes in the circuit!!! Rather in the internal algorithm - minmax offset; - bool operator<(Hpin const o) const{ return cell_index < o.cell_index; } - }; - struct Hnet{ - bool has_ext_pins; - minmax ext_pins; - int_t weight; - - Hnet(){ - has_ext_pins = false; - ext_pins = minmax(std::numeric_limits::max(), 0); - weight = 1; - } - }; - - std::vector net_limits; - std::vector nets; - - std::vector pins; - std::vector cell_widths; - - Hnet_group(){ - net_limits.push_back(0); - } - - void add_net(std::vector const added_pins, int_t weight){ - Hnet cur_net; - cur_net.weight = weight; - std::vector new_pins; - for(auto const p : added_pins){ - if(p.movable){ - Hpin new_pin; - new_pin.cell_index = p.cell_ind; - new_pin.offset = minmax(p.offs, p.offs); - new_pins.push_back(new_pin); - } - else{ - cur_net.has_ext_pins = true; - - cur_net.ext_pins.merge(p.pos); - } - } - std::sort(new_pins.begin(), new_pins.end()); - - if(not new_pins.empty()){ // Possible when generating from a Steiner topology - // Uniquify just in case there are several pins on the net on a single cell - index_t j=0; - auto prev_pin = new_pins[0]; - for(auto it = new_pins.begin()+1; it != new_pins.end(); ++it){ - if(it->cell_index == prev_pin.cell_index){ - prev_pin.offset.merge(it->offset); - } - else{ - new_pins[j] = prev_pin; - ++j; - prev_pin = *it; - } - } - new_pins[j]=prev_pin; - new_pins.resize(j+1); - nets.push_back(cur_net); - net_limits.push_back(net_limits.back() + new_pins.size()); - pins.insert(pins.end(), new_pins.begin(), new_pins.end()); - } - } - - std::int64_t get_cost(std::vector const & pos) const{ - std::int64_t cost=0; - for(index_t n=0; n::max(), std::numeric_limits::min()); - if(cur_net.has_ext_pins){ - mm = cur_net.ext_pins; - } - - assert(net_limits[n+1] > net_limits[n]); - for(index_t p=net_limits[n]; p(cur_net.weight) * (mm.max - mm.min); - } - return cost; - } - - std::int64_t get_cost(std::vector const & pos, std::vector const & flip) const{ - std::int64_t cost=0; - for(index_t n=0; n::max(), std::numeric_limits::min()); - if(cur_net.has_ext_pins){ - mm = cur_net.ext_pins; - } - - assert(net_limits[n+1] > net_limits[n]); - for(index_t p=net_limits[n]; p(cur_net.weight) * (mm.max - mm.min); - } - return cost; - } - -}; - -Hnet_group get_B2B_netgroup(netlist const & circuit, detailed_placement const & pl, std::vector const & cells){ - - std::vector cells_in_row = get_sorted_ordered_cells(cells); - std::vector involved_nets = get_unique_nets(circuit, cells); - - Hnet_group ret; - for(index_t c : cells) - ret.cell_widths.push_back(circuit.get_cell(c).size.x); - - for(index_t n : involved_nets){ - std::vector cur_pins = get_pins_1D(circuit, pl.plt_, n).x; - for(pin_1D & p : cur_pins){ - auto it = std::lower_bound(cells_in_row.begin(), cells_in_row.end(), p.cell_ind); - if(it != cells_in_row.end() and it->cell_ind == p.cell_ind){ - p.cell_ind = it->seq_order; - } - else{ // Found a pin which remains fixed for this round - p.movable = false; - } - } - ret.add_net(cur_pins, circuit.get_net(n).weight); - } - - return ret; -} - -Hnet_group get_RSMT_netgroup(netlist const & circuit, detailed_placement const & pl, std::vector const & cells){ - - std::vector cells_in_row = get_sorted_ordered_cells(cells); - std::vector involved_nets = get_unique_nets(circuit, cells); - - Hnet_group ret; - for(index_t c : cells) - ret.cell_widths.push_back(circuit.get_cell(c).size.x); - - for(index_t n : involved_nets){ - auto vpins = get_pins_2D(circuit, pl.plt_, n); - for(auto & p : vpins){ - auto it = std::lower_bound(cells_in_row.begin(), cells_in_row.end(), p.cell_ind); - if(it != cells_in_row.end() and it->cell_ind == p.cell_ind){ - p.cell_ind = it->seq_order; - } - else{ - p.movable = false; - } - } - - std::vector > pin_locations; - for(auto p : vpins) - pin_locations.push_back(p.pos); - auto const Htopo = get_RSMT_topology(pin_locations, 8).x; - - // In the horizontal topology, we transform the parts of the tree that are on the row into HPWL subnets - // Two pins sharing an edge are in the same subnet if one of them is on the row: use union-find - union_find UF(vpins.size()); - for(auto E : Htopo){ - if( vpins[E.first].movable or vpins[E.second].movable){ - UF.merge(E.first, E.second); - } - } - - std::vector > connex_comps(vpins.size()); - for(index_t i=0; i const & permutation, std::vector & positions, std::vector > const & cell_ranges){ - // Get the widths of the cells in row order - std::vector loc_widths(permutation.size()); - std::vector > loc_ranges(permutation.size()); - for(index_t i=0; i bounds; - std::vector right_slopes(permutation.size(), 0); - for(index_t n=0; n::max(), lst_c=0; - int_t fst_pin_offs=0, lst_pin_offs=0; - assert(nets.net_limits[n+1] > nets.net_limits[n]); - auto cur_net = nets.nets[n]; - for(index_t p=nets.net_limits[n]; p= lst_c){ - lst_c = cur_cell; - lst_pin_offs = nets.pins[p].offset.max; - } - } - if(cur_net.has_ext_pins){ - bounds.push_back(cell_bound(fst_c, cur_net.ext_pins.min - fst_pin_offs, cur_net.weight)); - bounds.push_back(cell_bound(lst_c, cur_net.ext_pins.max - lst_pin_offs, cur_net.weight)); - - right_slopes[lst_c] += cur_net.weight; - } - else{ - right_slopes[lst_c] += cur_net.weight; - right_slopes[fst_c] -= cur_net.weight; - } - } - - bool feasible = place_convex_single_row(loc_widths, loc_ranges, bounds, right_slopes, positions); - - auto permuted_positions = positions; - for(index_t i=0; i::max(); // Infeasible: return a very big cost -} - -// TODO: take modified order relative to the obstacles into account -inline std::int64_t optimize_noncvx_sequence(Hnet_group const & nets, std::vector const & permutation, std::vector & positions, std::vector & flippings, std::vector const & flippability, std::vector > const & cell_ranges){ - // Get the widths of the cells in row order - std::vector loc_widths(permutation.size()); - std::vector loc_flipps(permutation.size()); - std::vector > loc_ranges(permutation.size()); - for(index_t i=0; i::min(); - for(index_t i=0; i::max(); - for(index_t i=loc_ranges.size(); i>0; --i){ - max_limit = std::min(loc_ranges[i-1].second, max_limit); - max_limit -= loc_widths[i-1]; - loc_ranges[i-1].second = max_limit; - } - - for(index_t i=0; i loc_ranges[i].second){ - return std::numeric_limits::max(); // Infeasible: return a very big cost - } - } - - std::vector unflipped_cost_functions, flipped_cost_functions; - for(index_t i=0; i::max(), lst_c=0; - int_t fst_pin_offs_mn=0, lst_pin_offs_mn=0, - fst_pin_offs_mx=0, lst_pin_offs_mx=0; - - assert(nets.net_limits[n+1] > nets.net_limits[n]); - auto cur_net = nets.nets[n]; - for(index_t p=nets.net_limits[n]; p= lst_c){ - lst_c = cur_cell; - lst_pin_offs_mn = nets.pins[p].offset.min; - lst_pin_offs_mx = nets.pins[p].offset.max; - } - } - if(cur_net.has_ext_pins){ - unflipped_cost_functions[fst_c].add_bislope(-cur_net.weight, 0, cur_net.ext_pins.min - fst_pin_offs_mn); - unflipped_cost_functions[lst_c].add_bislope(0, cur_net.weight, cur_net.ext_pins.max - lst_pin_offs_mx); - flipped_cost_functions[fst_c].add_bislope(-cur_net.weight, 0, cur_net.ext_pins.min - loc_widths[fst_c] + fst_pin_offs_mx); - flipped_cost_functions[lst_c].add_bislope(0, cur_net.weight, cur_net.ext_pins.max - loc_widths[lst_c] + lst_pin_offs_mn); - } - else{ - unflipped_cost_functions[fst_c].add_monotone(-cur_net.weight, -fst_pin_offs_mn); - unflipped_cost_functions[lst_c].add_monotone( cur_net.weight, -lst_pin_offs_mx); - flipped_cost_functions[fst_c].add_monotone(-cur_net.weight, fst_pin_offs_mx - loc_widths[fst_c] ); - flipped_cost_functions[lst_c].add_monotone( cur_net.weight, lst_pin_offs_mn - loc_widths[lst_c] ); - } - } - - std::vector prev_mins, merged_costs; - for(index_t i=0; i0){ - prev_mins.push_back(prev_mins.back().previous_min_of_sum(merged_costs.back(), loc_widths[i-1])); - } - else{ - prev_mins.push_back(merged_costs.back().previous_min()); - } - } - - for(auto const M : prev_mins){ - for(index_t i=0; i+1= M.point_values[i+1].second); - } - } - - flippings.resize(cell_ranges.size(), 0); positions.resize(cell_ranges.size(), 0); - - int_t pos = std::numeric_limits::max(); - for(index_t i=loc_ranges.size(); i>0; --i){ - // Find the best position and flipping for each cell - pos = prev_mins[i-1].last_before(std::min(pos - loc_widths[i-1], loc_ranges[i-1].second) ); - positions[i-1] = pos; - - if(loc_flipps[i-1] and flipped_cost_functions[i-1].value_at(pos) < unflipped_cost_functions[i-1].value_at(pos)){ - flippings[i-1] = 1; - } - } - - for(index_t i=0; i= loc_ranges[i].first); - assert(positions[i] <= loc_ranges[i].second); - } - for(index_t i=0; i+1 > get_cell_ranges(netlist const & circuit, detailed_placement const & pl, std::vector const & cells){ - std::vector > lims; - - for(index_t i=0; i+1(lower_lim, upper_lim); - int_t pos = pl.plt_.positions_[OSRP_cell].x; - if( (attr & XMovable) == 0 or pl.cell_height(OSRP_cell) != 1){ - cur_lim = std::pair(pos, pos + circuit.get_cell(OSRP_cell).size.x); - } - else{ - assert(pos >= lower_lim); - assert(pos + circuit.get_cell(OSRP_cell).size.x <= upper_lim); - } - lims.push_back(cur_lim); - } - - return lims; -} - -template -void OSRP_generic(netlist const & circuit, detailed_placement & pl){ - for(index_t r=0; r cells; - std::vector flippability; - - // Get the movable cells, if we can flip them, and the obstacles on the row - for(index_t OSRP_cell = pl.get_first_cell_on_row(r); OSRP_cell != null_ind; OSRP_cell = pl.get_next_cell_on_row(OSRP_cell, r)){ - auto attr = circuit.get_cell(OSRP_cell).attributes; - cells.push_back(OSRP_cell); - flippability.push_back( (attr & XFlippable) != 0 ? 1 : 0); - } - - if(not cells.empty()){ - std::vector > lims = get_cell_ranges(circuit, pl, cells); // Limit positions for each cell - - Hnet_group nets = RSMT ? - get_RSMT_netgroup(circuit, pl, cells) - : get_B2B_netgroup(circuit, pl, cells); - - std::vector no_permutation(cells.size()); - for(index_t i=0; i final_positions; - if(NON_CONVEX){ - std::vector flipped; - optimize_noncvx_sequence(nets, no_permutation, final_positions, flipped, flippability, lims); - for(index_t i=0; i -void swaps_row_generic(netlist const & circuit, detailed_placement & pl, index_t range){ - assert(range >= 2); - - for(index_t r=0; r cells; - std::vector > lims; - std::vector flippables; - - for(index_t nbr_cells=0; - OSRP_cell != null_ind - and nbr_cells < range; - OSRP_cell = pl.get_next_cell_on_row(OSRP_cell, r), ++nbr_cells - ){ - cells.push_back(OSRP_cell); - flippables.push_back( (circuit.get_cell(OSRP_cell).attributes & XFlippable) != 0); - } - - if(not cells.empty()){ - std::vector > lims = get_cell_ranges(circuit, pl, cells); // Limit positions for each cell - - Hnet_group nets = RSMT ? - get_RSMT_netgroup(circuit, pl, cells) - : get_B2B_netgroup(circuit, pl, cells); - - std::int64_t best_cost = std::numeric_limits::max(); - std::vector positions(cells.size()); - std::vector flippings(cells.size()); - std::vector best_positions(cells.size()); - std::vector best_flippings(cells.size()); - - std::vector permutation(cells.size()); - for(index_t i=0; i best_permutation; - - // Check every possible permutation of the cells - do{ - std::int64_t cur_cost = NON_CONVEX ? - optimize_noncvx_sequence(nets, permutation, positions, flippings, flippables, lims) : - optimize_convex_sequence(nets, permutation, positions, lims); - if(cur_cost <= best_cost){ - best_cost = cur_cost; - best_permutation = permutation; - best_flippings = flippings; - best_positions = positions; - } - }while(std::next_permutation(permutation.begin(), permutation.end())); - - std::vector new_cell_order(cells.size()); - // Update the positions and the topology - for(index_t i=0; i::max()); - } - - if(OSRP_cell != null_ind){ - assert(cells.size() == range); - OSRP_cell = cells[range/2]; - } - } // Iteration on the entire row - } // Iteration on the rows - - pl.selfcheck(); -} -} // End anonymous namespace - -void OSRP_convex_HPWL(netlist const & circuit, detailed_placement & pl){ OSRP_generic< false, false>(circuit, pl); } -void OSRP_convex_RSMT(netlist const & circuit, detailed_placement & pl){ OSRP_generic< false, true >(circuit, pl); } -void OSRP_noncvx_HPWL(netlist const & circuit, detailed_placement & pl){ OSRP_generic< true , false>(circuit, pl); } -void OSRP_noncvx_RSMT(netlist const & circuit, detailed_placement & pl){ OSRP_generic< true , true >(circuit, pl); } -void swaps_row_convex_HPWL(netlist const & circuit, detailed_placement & pl, index_t range){ swaps_row_generic< false, false>(circuit, pl, range); } -void swaps_row_convex_RSMT(netlist const & circuit, detailed_placement & pl, index_t range){ swaps_row_generic< false, true >(circuit, pl, range); } -void swaps_row_noncvx_HPWL(netlist const & circuit, detailed_placement & pl, index_t range){ swaps_row_generic< true , false>(circuit, pl, range); } -void swaps_row_noncvx_RSMT(netlist const & circuit, detailed_placement & pl, index_t range){ swaps_row_generic< true , true >(circuit, pl, range); } - -} // namespace dp -} // namespace coloquinte - - diff --git a/coloquinte/src/solvers.cxx b/coloquinte/src/solvers.cxx deleted file mode 100644 index 27d75bae..00000000 --- a/coloquinte/src/solvers.cxx +++ /dev/null @@ -1,384 +0,0 @@ - -#include "coloquinte/solvers.hxx" - -#include -#include -#include -#include - -namespace coloquinte{ -namespace gp{ - -linear_system linear_system::operator+(linear_system const & o) const{ - if(o.internal_size() != internal_size()){ throw std::runtime_error("Mismatched system sizes"); } - linear_system ret(target_.size() + o.target_.size() - internal_size(), internal_size()); - - ret.matrix_ = matrix_; - std::vector omatrix = o.matrix_; - for(matrix_triplet & t : omatrix){ - if(t.c_ >= internal_size()){ - t.c_ += (target_.size() - internal_size()); - } - if(t.r_ >= internal_size()){ - t.r_ += (target_.size() - internal_size()); - } - } - ret.matrix_.insert(ret.matrix_.end(), omatrix.begin(), omatrix.end()); - - // ret.target_.resize(target_.size() + o.target_.size() - internal_size); - for(index_t i=0; i row_limits, col_indexes; - std::vector values, diag; - - std::vector mul(std::vector const & x) const; - std::vector solve_CG(std::vector const & goal, std::vector guess, std::uint32_t min_iter, std::uint32_t max_iter, float tol) const; - csr_matrix(std::vector const & row_l, std::vector const & col_i, std::vector const & vals, std::vector const D) : row_limits(row_l), col_indexes(col_i), values(vals), diag(D){ - assert(values.size() == col_indexes.size()); - assert(diag.size()+1 == row_limits.size()); - } -}; - -// A matrix with successive rows padded to the same length and accessed column-major; hopefully a little better -template -struct ellpack_matrix{ - std::vector row_limits, col_indexes; - std::vector values, diag; - - std::vector mul(std::vector const & x) const; - std::vector solve_CG(std::vector goal, std::vector guess, std::uint32_t min_iter, std::uint32_t max_iter, float tol) const; - - ellpack_matrix(std::vector const & row_l, std::vector const & col_i, std::vector const & vals, std::vector const D) : row_limits(row_l), col_indexes(col_i), values(vals), diag(D){ - assert(values.size() == col_indexes.size()); - assert(diag.size() % unroll_len == 0); - assert((row_limits.size()-1) * unroll_len == diag.size() ); - assert(row_limits.back() * unroll_len == values.size()); - assert(values.size() % unroll_len == 0); - assert(col_indexes.size() % unroll_len == 0); - } -}; - -// The proxy matrix for compressed sparse storage -class doublet_matrix{ - std::vector row_limits; - std::vector doublets; - std::uint32_t size; - - void get_compressed(std::vector & limits, std::vector & elements, std::vector & diag) const; - public: - doublet_matrix(std::vector const & triplets, std::uint32_t size); - csr_matrix get_compressed_matrix() const; - template - ellpack_matrix get_ellpack_matrix() const; -}; - -doublet_matrix::doublet_matrix(std::vector const & triplets, std::uint32_t n) : size(n){ - row_limits.resize(size+1, 0); - // First store the row sizes in the array - for(uint32_t i=0; i & sizes, std::vector & elements, std::vector & diag) const{ - assert(size+1 == row_limits.size()); - sizes.resize(size); - diag.resize(size, 0.0); - std::vector tmp_doublets = doublets; - - for(uint32_t i=0; i tmp_doublets; - std::vector sizes; - std::vector diag; - get_compressed(sizes, tmp_doublets, diag); - - // Get the limits of each row - std::vector new_row_limits(row_limits.size()); - new_row_limits[0] = 0; - for(std::uint32_t i=0; i col_indices(tmp_doublets.size()); - std::vector values(tmp_doublets.size()); - for(std::uint32_t i=0; i -ellpack_matrix doublet_matrix::get_ellpack_matrix() const{ - std::vector tmp_doublets; - std::vector sizes; - std::vector diag; - get_compressed(sizes, tmp_doublets, diag); - - std::uint32_t unrolled_size = (diag.size() % unroll_len == 0)? diag.size()/unroll_len : diag.size() / unroll_len + 1; - sizes.resize(unroll_len * unrolled_size, 0); - diag.resize(unroll_len * unrolled_size, 1.0); - - // Store the maximum size of a group of rows - std::vector new_row_limits(unrolled_size+1); - new_row_limits[0] = 0; - for(std::uint32_t i=0; i col_indices(unroll_len * new_row_limits.back()); - std::vector values(unroll_len * new_row_limits.back()); - - std::uint32_t d = 0; - for(std::uint32_t i=0; i(new_row_limits, col_indices, values, diag); -} - -std::vector csr_matrix::mul(std::vector const & x) const{ - std::vector res(x.size()); - assert(x.size() == diag.size()); - for(std::uint32_t i=0; i -std::vector ellpack_matrix::mul(std::vector const & x) const{ - std::vector res(x.size()); - assert(x.size() % unroll_len == 0); - assert(x.size() == diag.size()); - for(std::uint32_t i=0; i+1 -float dot_prod(std::vector const & a, std::vector const & b){ - assert(a.size() == b.size()); - float vals[unroll_len]; - for(int j=0; j csr_matrix::solve_CG(std::vector const & goal, std::vector x, std::uint32_t min_iter, std::uint32_t max_iter, float tol_ratio) const{ - std::uint32_t n = diag.size(); - assert(goal.size() == n); - assert(x.size() == n); - std::vector r, p(n), z(n), mul_res, preconditioner(n); - r = mul(x); - for(uint32_t i=0; i(r, z); - assert(std::isfinite(cross_norm)); - float_t const epsilon = std::numeric_limits::min(); - - float start_norm = cross_norm; - for(uint32_t k=0; k < max_iter; ++k){ - mul_res = mul(p); - - float_t pr_prod = dot_prod<16>(p, mul_res); - float_t alpha = cross_norm / pr_prod; - - if( - not std::isfinite(cross_norm) or not std::isfinite(alpha) or not std::isfinite(pr_prod) - or cross_norm <= epsilon or alpha <= epsilon or pr_prod <= epsilon - ){ - break; - } - - // Update the result - for(uint32_t i=0; i(r, z); - - // Update the scaled residual and the search direction - if(k >= min_iter && new_cross_norm <= tol_ratio * start_norm){ - break; - } - float beta = new_cross_norm / cross_norm; - cross_norm = new_cross_norm; - for(uint32_t i=0; i -std::vector ellpack_matrix::solve_CG(std::vector goal, std::vector x, std::uint32_t min_iter, std::uint32_t max_iter, float tol_ratio) const{ - std::uint32_t n = diag.size(); - std::uint32_t old_n = x.size(); - assert(goal.size() == x.size()); - x.resize(diag.size(), 0.0); - goal.resize(diag.size(), 0.0); - - std::vector r, p(n), z(n), mul_res, preconditioner(n); - r = mul(x); - for(uint32_t i=0; i(r, z); - float start_norm = cross_norm; - for(uint32_t k=0; k < max_iter; ++k){ - mul_res = mul(p); - float alpha = cross_norm / dot_prod(p, mul_res); - // Update the result - for(uint32_t i=0; i(r, z); - - // Update the scaled residual and the search direction - if(k >= min_iter && new_cross_norm <= tol_ratio * start_norm){ - break; - } - float beta = new_cross_norm / cross_norm; - cross_norm = new_cross_norm; - for(uint32_t i=0; i linear_system::solve_CG(std::vector guess, index_t nbr_iter){ - doublet_matrix tmp(matrix_, size()); - csr_matrix mat = tmp.get_compressed_matrix(); - //ellpack_matrix<16> mat = tmp.get_ellpack_matrix<16>(); - guess.resize(target_.size(), 0.0); - auto ret = mat.solve_CG(target_, guess, nbr_iter, nbr_iter, 0.0); - ret.resize(internal_size()); - return ret; -} - -} -} - - - diff --git a/coloquinte/src/topologies.cxx b/coloquinte/src/topologies.cxx deleted file mode 100644 index c9b952f0..00000000 --- a/coloquinte/src/topologies.cxx +++ /dev/null @@ -1,536 +0,0 @@ - -#include "coloquinte/topologies.hxx" -#include "coloquinte/circuit_helper.hxx" -#include "coloquinte/union_find.hxx" - -#include -#include -#include -#include -#include -#include -#include - -namespace coloquinte{ -using edge_t = std::pair; - -namespace{ -struct minmax_t{ - int_t min, max; - - minmax_t(int_t mn, int_t mx) : min(mn), max(mx) {} - minmax_t() {} - void merge(minmax_t const o){ - min = std::min(o.max, min); - max = std::max(o.min, max); - } - void merge(int_t const p){ - min = std::min(p, min); - max = std::max(p, max); - } -}; -} - -namespace steiner_lookup{ - -template -int_t Hconnectivity::get_wirelength(std::array, pin_cnt> const sorted_points) const{ - std::array minmaxs; - for(index_t i=0; i> 4; - minmaxs[b_con].merge(sorted_points.front() .y); - minmaxs[e_con].merge(sorted_points.back() .y); - for(std::uint8_t const E : connexions){ - minmaxs[(E >> 4)].merge(minmaxs[(E & 15u)]); - } - int_t cost = sorted_points.back().x - sorted_points.front().x + sorted_points[b_con+1].x - sorted_points[e_con+1].x; - for(std::uint8_t const E : connexions){ - cost += std::abs((float)(sorted_points[(E >> 4) +1].x - sorted_points[(E & 15u) +1].x)); - } - for(index_t i=0; i -std::array Hconnectivity::get_x_topology(std::array, pin_cnt> const sorted_points) const{ - std::array ret; - std::uint8_t b_con = extremes & 15u, e_con = extremes >> 4; - ret[0] = edge_t(0, b_con+1); - ret[1] = edge_t(pin_cnt-1, e_con+1); - for(index_t i=0; i> 4) +1); - } - - return ret; -} -} // End namespace steiner_lookup - -namespace { - -template -int_t get_wirelength_from_sorted(std::vector > const & pins, std::array, array_size> const & lookups){ - std::array, n> points; - std::copy_n(pins.begin(), n, points.begin()); - - int_t cost = std::numeric_limits::max(); - for(auto const L : lookups){ - cost = std::min(cost, L.get_wirelength(points)); - } - return cost; -} - -std::int64_t get_wirelength_from_topo(std::vector > const & points, std::vector > Htopo){ - std::vector minmaxs(points.size()); - for(index_t i=0; i{ - index_t index; - indexed_pt(point pt, index_t pos) : point(pt), index(pos) {} - indexed_pt(){} -}; - -template -std::vector > get_topology_from_sorted(std::vector > const & pins, std::array, array_size> const & lookups){ - std::array, n> points; - std::copy_n(pins.begin(), n, points.begin()); - - // Find the horizontal topology with the smallest cost - int_t cost = std::numeric_limits::max(); - index_t ind = std::numeric_limits::max(); - for(index_t i=0; i::max()); - auto ret = lookups[ind].get_x_topology(points); - return std::vector >(ret.begin(), ret.end()); -} - -std::vector get_vertical_topology(std::vector > pins, std::vector const & Htopo){ - index_t const null_ind = std::numeric_limits::max(); - - std::vector ipoints(pins.size()); - for(index_t i=0; i min_y_pin(pins.size()); - for(index_t i=0; i max_y_pin = min_y_pin; - - - std::vector nxt_y_pin(pins.size(), null_ind); - std::vector ret; - for(auto const E : Htopo){ - // Assuming a correctly ordered horizontal topology where the first node of the edge is never visited again - index_t f=E.first, s=E.second; - index_t first_yf=min_y_pin[f], first_ys=min_y_pin[s]; - - // Push the edges from the first and insert one of its elements in the second's linked structure - if(max_y_pin[f] < min_y_pin[s] or max_y_pin[s] < min_y_pin[f]){ - for(index_t yf=first_yf; nxt_y_pin[yf] != null_ind; yf = nxt_y_pin[yf]){ - ret.push_back(edge_t(yf, nxt_y_pin[yf])); - } - - if(max_y_pin[f] < min_y_pin[s]){ - nxt_y_pin[max_y_pin[f]] = min_y_pin[s]; - min_y_pin[s] = max_y_pin[f]; - } - else if(max_y_pin[s] < min_y_pin[f]){ - nxt_y_pin[max_y_pin[s]] = min_y_pin[f]; - max_y_pin[s] = min_y_pin[f]; - nxt_y_pin[min_y_pin[f]] = null_ind; - } - else{ - abort(); - } - } - else{ // Need to chose a pin with two connexions because there will be no L route - // One pin from the second is in the middle of the first - if(max_y_pin[f] > max_y_pin[s]){ - index_t middle_pin = max_y_pin[s]; - index_t yf=first_yf; - // Make the first connexions - for(; nxt_y_pin[yf] < middle_pin; yf = nxt_y_pin[yf]){ - ret.push_back(edge_t(yf, nxt_y_pin[yf])); - } - // Make the two connexions with the new pin - ret.push_back(edge_t(yf, middle_pin)); - yf = nxt_y_pin[yf]; - ret.push_back(edge_t(yf, middle_pin)); - // Finish the connexions - for(; nxt_y_pin[yf] != null_ind; yf = nxt_y_pin[yf]){ - ret.push_back(edge_t(yf, nxt_y_pin[yf])); - } - } - // One pin from the first is in the middle of the second - else{ - for(index_t yf=first_yf; nxt_y_pin[yf] != null_ind; yf = nxt_y_pin[yf]){ - ret.push_back(edge_t(yf, nxt_y_pin[yf])); - } - index_t middle_pin = max_y_pin[f]; - // Find the place where we can insert this pin - index_t ys=first_ys; - for(; nxt_y_pin[ys] < middle_pin; ys = nxt_y_pin[ys]); - nxt_y_pin[middle_pin] = nxt_y_pin[ys]; - nxt_y_pin[ys] = middle_pin; - } - } - } - // The last visited gives the remaining connexions to push - for(index_t yf=min_y_pin[Htopo.back().second]; nxt_y_pin[yf] != null_ind; yf = nxt_y_pin[yf]){ - ret.push_back(edge_t(yf, nxt_y_pin[yf])); - } - - // Back to the original ordering - for(auto & E : ret){ - E.first = ipoints[E.first].index; - E.second = ipoints[E.second].index; - } - return ret; -} - -inline void northeast_octant_neighbours(std::vector > pins, std::vector > & edges){ - - std::vector point_list; - for(index_t i=0; i > - active_upper_octant([](indexed_pt const a, indexed_pt const b)->bool{return a.x > b.x;}), - active_lower_octant([](indexed_pt const a, indexed_pt const b)->bool{return a.y > b.y;}); - - for(indexed_pt const current : point_list){ - { // North to north-east region - auto first_it = active_upper_octant.lower_bound(current); // Largest x with x <= current.x - auto it = first_it; - for(; it != active_upper_octant.end() && it->x - it->y >= current.x - current.y; ++it){ - edges.push_back(std::pair(current.index, it->index)); - } - if(first_it != active_upper_octant.end()){ active_upper_octant.erase(first_it, it); } - active_upper_octant.insert(it, current); // Hint to insert the element since it is the correct position - } // End region - { // North-east to east region - auto first_it = active_lower_octant.lower_bound(current); // Largest y with y <= current.y - auto it = first_it; - for(; it != active_lower_octant.end() && it->y - it->x >= current.y - current.x; ++it){ - edges.push_back(std::pair(current.index, it->index)); - } - if(first_it != active_lower_octant.end()){ active_lower_octant.erase(first_it, it); } - active_lower_octant.insert(it, current); // Hint to insert the element since it is the correct position - } // End region - } -} - -// Gets the nearest octant neighbour for each point in the south-east quadrant -inline void southeast_octant_neighbours(std::vector > pins, std::vector > & edges){ - for(auto & pin : pins){ - pin.y = - pin.y; - } - northeast_octant_neighbours(pins, edges); -} - -std::vector > get_small_horizontal_topology_from_sorted(std::vector > const & pins){ - assert(pins.size() <= 10); - - switch(pins.size()){ - case 2: - return std::vector(1, edge_t(0, 1)); - case 3: - return std::vector{{0, 1}, {1, 2}}; - case 4: - return get_topology_from_sorted<4, 2>(pins, steiner_lookup::topologies_4); - case 5: - return get_topology_from_sorted<5, 6>(pins, steiner_lookup::topologies_5); - case 6: - return get_topology_from_sorted<6, 23>(pins, steiner_lookup::topologies_6); - case 7: - return get_topology_from_sorted<7, 111>(pins, steiner_lookup::topologies_7); - case 8: - return get_topology_from_sorted<8, 642>(pins, steiner_lookup::topologies_8); - case 9: - return get_topology_from_sorted<9, 4334>(pins, steiner_lookup::topologies_9); - case 10: - return get_topology_from_sorted<10, 33510>(pins, steiner_lookup::topologies_10); - default: // Only 1 and 0 left (11 and more are protected by an assertion) - return std::vector(); - } -} - -// Get an ordering of the edges that is compatible with the processing functions -std::vector get_tree_topo_sort(std::vector const & topo){ - std::vector sorted_topo; - std::vector > neighbours(topo.size()+1); - for(edge_t const E : topo){ - neighbours[E.first].push_back(E.second); - neighbours[E.second].push_back(E.first); - } - std::vector to_visit; - std::vector nbr_unvisited(topo.size()+1); - for(index_t i=0; i<=topo.size(); ++i){ - nbr_unvisited[i] = neighbours[i].size(); - assert(topo.size() == 0 or nbr_unvisited[i] >= 1); - if(nbr_unvisited[i] == 1) - to_visit.push_back(i); - } - std::vector visited(topo.size()+1, 0); - while(not to_visit.empty()){ - index_t f = to_visit.back(); - assert(visited[f] == 0); - visited[f] = 1; - to_visit.pop_back(); - for(index_t s : neighbours[f]){ - --nbr_unvisited[s]; - if(visited[s] == 0){ // It is not a node we already visited - sorted_topo.push_back(edge_t(f, s)); - } - if(nbr_unvisited[s] == 1){ - to_visit.push_back(s); - } - } - } - assert(sorted_topo.size() == topo.size()); - return sorted_topo; -} - -std::vector get_big_horizontal_topology_from_sorted(std::vector > const & pins, index_t exactitude_limit){ - auto spanning = get_MST_topology(pins); - - // TODO: perform local optimizations on the topology using exact Steiner tree algorithms - - // Remove horizontal suboptimalities i.e. when the connexions to the left and right are unbalanced - // Reuse existing code by translation to vertical topology - auto first_Htopo = get_tree_topo_sort(spanning); - auto Vtopo = get_vertical_topology(pins, first_Htopo); - Vtopo = get_tree_topo_sort(Vtopo); - - std::vector > inverted_coords = pins; - for(point & pt : inverted_coords){ - std::swap(pt.x, pt.y); - } - auto Htopo = get_vertical_topology(inverted_coords, Vtopo); - - // Sort the tree so that it is usable when building an RSMT - return get_tree_topo_sort(Htopo); -} -} // End anonymous namespace - -std::vector get_RSMT_horizontal_topology(std::vector > const & pins, index_t exactitude_limit){ - if(pins.size() <= 1) - return std::vector(); - else if(pins.size() == 2) - return std::vector(1, edge_t(0, 1)); - else if(pins.size() == 3){ - std::vector ipoints(pins.size()); - for(index_t i=0; i{{xpoints[0].index, xpoints[1].index}, {xpoints[1].index, xpoints[2].index}}; - } - else{ - std::vector horizontal_topology; - - // Sort the pins by x coordinate - std::vector ipoints(pins.size()); - for(index_t i=0; i > sorted_pins(pins.size()); - for(index_t i=0; i > get_MST_topology(std::vector > const & pins){ - - std::vector edges; - - if(pins.size() <= 2){ - if(pins.size() == 2){ - edges.push_back(edge_t(0, 1)); - } - if(pins.size() == 3){ - auto D = [](point a, point b){ return (int_t)(std::abs((float)(a.x - b.x)) + std::abs((float)(a.y - b.y))); }; - auto dists = std::array({{D(pins[1], pins[2]), D(pins[1], pins[2]), D(pins[0], pins[1])}}); - index_t mx = std::max_element(dists.begin(), dists.end()) - dists.begin(); - for(index_t i=0; i<3; ++i){ - if(i != mx) - edges.push_back(edge_t((i+1) % 3, (i+2) % 3)); - } - } - return edges; - } - - northeast_octant_neighbours(pins, edges); - southeast_octant_neighbours(pins, edges); - - std::vector returned_edges; - - auto edge_length = [&](edge_t E){ - point p1 = pins[E.first], - p2 = pins[E.second]; - return std::abs((float)(p1.x - p2.x)) + std::abs((float)(p1.y - p2.y)); - }; - // Perform Kruskal to get the tree - std::sort(edges.begin(), edges.end(), [&](edge_t a, edge_t b){ return edge_length(a) < edge_length(b); }); - - union_find merger(pins.size()); - - for(index_t i=0; i > const & pins){ - auto edges = get_MST_topology(pins); - std::int64_t sum = 0; - for(auto E : edges){ - sum += std::abs((float)(pins[E.first].x - pins[E.second].x)); - sum += std::abs((float)(pins[E.first].y - pins[E.second].y)); - } - return sum; -} - -std::int64_t RSMT_length(std::vector > const & pins, index_t exactitude_limit){ - assert(exactitude_limit <= 10 and exactitude_limit >= 3); - if(pins.size() <= 3){ - if(pins.size() == 2){ - return std::abs((float)(pins[0].x - pins[1].x)) + std::abs((float)(pins[0].y - pins[1].y)); - } - else if(pins.size() == 3){ - auto minmaxX = std::minmax_element(pins.begin(), pins.end(), [](point a, point b){ return a.x < b.x; }), - minmaxY = std::minmax_element(pins.begin(), pins.end(), [](point a, point b){ return a.y < b.y; }); - return (minmaxX.second->x - minmaxX.first->x) + (minmaxY.second->y - minmaxY.first->y); - } - else{ - return 0; - } - } - else{ - std::vector > points = pins; - std::sort(points.begin(), points.end(), [](point a , point b){return a.x < b.x; }); - - if(points.size() <= exactitude_limit){ - switch(points.size()){ - case 4: - return get_wirelength_from_sorted<4, 2>(points, steiner_lookup::topologies_4); - case 5: - return get_wirelength_from_sorted<5, 6>(points, steiner_lookup::topologies_5); - case 6: - return get_wirelength_from_sorted<6, 23>(points, steiner_lookup::topologies_6); - case 7: - return get_wirelength_from_sorted<7, 111>(points, steiner_lookup::topologies_7); - case 8: - return get_wirelength_from_sorted<8, 642>(points, steiner_lookup::topologies_8); - case 9: - return get_wirelength_from_sorted<9, 4334>(points, steiner_lookup::topologies_9); - case 10: - return get_wirelength_from_sorted<10, 33510>(points, steiner_lookup::topologies_10); - default: - abort(); - } - } - else{ // Need to create the full topology, then calculate the length back - //return MST_length(points); - auto horizontal_topology = get_big_horizontal_topology_from_sorted(points, exactitude_limit); - return get_wirelength_from_topo(points, horizontal_topology); - } - } -} - -point > > get_RSMT_topology(std::vector > const & pins, index_t exactitude_limit){ - - assert(exactitude_limit <= 10 and exactitude_limit >= 3); - - // For 3 pin and fewer, the topology is very simple - if(pins.size() <= 2){ - if(pins.size() == 2){ - auto ret = std::vector(1, edge_t(0, 1)); - return point >(ret, ret); - } - else{ - return point >(); - } - } - else if(pins.size() == 3){ - std::vector ipoints(pins.size()); - for(index_t i=0; i >{{{xpoints[0].index, xpoints[1].index}, {xpoints[1].index, xpoints[2].index}}, {{ypoints[0].index, ypoints[1].index}, {ypoints[1].index, ypoints[2].index}}}; - } - else{ - std::vector horizontal_topology = get_RSMT_horizontal_topology(pins, exactitude_limit); - return point >(horizontal_topology, get_vertical_topology(pins, horizontal_topology)); - } -} - -} // Namespace coloquinte - diff --git a/etesian/src/etesian/EtesianEngine.h b/etesian/src/etesian/EtesianEngine.h index fb3da07a..2783361b 100644 --- a/etesian/src/etesian/EtesianEngine.h +++ b/etesian/src/etesian/EtesianEngine.h @@ -18,7 +18,7 @@ #include #include #include -#include "coloquinte2/coloquinte.hpp" +#include "coloquinte/coloquinte.hpp" #include "hurricane/Timer.h" #include "hurricane/Name.h"