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|---|---|---|---|
| 1 | #include "sabutay_sparse_complex_ccs_mult_all/all/include/ops_all.hpp" | ||
| 2 | |||
| 3 | #include <mpi.h> | ||
| 4 | #include <omp.h> | ||
| 5 | |||
| 6 | #include <algorithm> | ||
| 7 | #include <atomic> | ||
| 8 | #include <cmath> | ||
| 9 | #include <complex> | ||
| 10 | #include <cstddef> | ||
| 11 | #include <thread> | ||
| 12 | #include <utility> | ||
| 13 | #include <vector> | ||
| 14 | |||
| 15 | #include "oneapi/tbb/blocked_range.h" | ||
| 16 | #include "oneapi/tbb/parallel_for.h" | ||
| 17 | #include "sabutay_sparse_complex_ccs_mult_all/common/include/common.hpp" | ||
| 18 | #include "task/include/task.hpp" | ||
| 19 | #include "util/include/util.hpp" | ||
| 20 | |||
| 21 | namespace sabutay_sparse_complex_ccs_mult_all { | ||
| 22 | namespace { | ||
| 23 | |||
| 24 | constexpr double kDropMagnitude = (1e-14); | ||
| 25 | |||
| 26 | 12 | auto IsValidStructure(const CCS &matrix) -> bool { | |
| 27 |
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12 | if (matrix.row_count < 0 || matrix.col_count < 0) { |
| 28 | return false; | ||
| 29 | } | ||
| 30 |
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12 | if (matrix.col_start.size() != (static_cast<std::size_t>(matrix.col_count) + 1U)) { |
| 31 | return false; | ||
| 32 | } | ||
| 33 |
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12 | if (matrix.row_index.size() != matrix.nz.size()) { |
| 34 | return false; | ||
| 35 | } | ||
| 36 |
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12 | if (matrix.col_start.empty() || matrix.col_start.front() != 0) { |
| 37 | return false; | ||
| 38 | } | ||
| 39 |
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12 | if (!std::cmp_equal(matrix.col_start.back(), matrix.nz.size())) { |
| 40 | return false; | ||
| 41 | } | ||
| 42 |
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38 | for (int j = 0; j < matrix.col_count; ++j) { |
| 43 |
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26 | const auto col_idx = static_cast<std::size_t>(j); |
| 44 |
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26 | if (matrix.col_start[col_idx] > matrix.col_start[col_idx + 1U]) { |
| 45 | return false; | ||
| 46 | } | ||
| 47 | } | ||
| 48 |
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36 | return std::ranges::all_of(matrix.row_index, [&matrix](int row) { return row >= 0 && row < matrix.row_count; }); |
| 49 | } | ||
| 50 | |||
| 51 | 56 | void BuildColumnFromRight(const CCS &left, const CCS &right, int column_index, | |
| 52 | std::vector<std::pair<int, std::complex<double>>> &buffer) { | ||
| 53 |
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56 | const int right_begin = right.col_start[static_cast<std::size_t>(column_index)]; |
| 54 |
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56 | const int right_end = right.col_start[static_cast<std::size_t>(column_index) + 1U]; |
| 55 | buffer.clear(); | ||
| 56 | |||
| 57 |
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136 | for (int right_pos = right_begin; right_pos < right_end; ++right_pos) { |
| 58 | 80 | const int inner = right.row_index[static_cast<std::size_t>(right_pos)]; | |
| 59 | 80 | const std::complex<double> scalar = right.nz[static_cast<std::size_t>(right_pos)]; | |
| 60 | 80 | const int left_begin = left.col_start[static_cast<std::size_t>(inner)]; | |
| 61 | 80 | const int left_end = left.col_start[static_cast<std::size_t>(inner) + 1U]; | |
| 62 |
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184 | for (int left_pos = left_begin; left_pos < left_end; ++left_pos) { |
| 63 | 104 | const int row = left.row_index[static_cast<std::size_t>(left_pos)]; | |
| 64 | 104 | buffer.emplace_back(row, left.nz[static_cast<std::size_t>(left_pos)] * scalar); | |
| 65 | } | ||
| 66 | } | ||
| 67 | 56 | } | |
| 68 | |||
| 69 | 56 | void SortBufferByRow(std::vector<std::pair<int, std::complex<double>>> &buffer) { | |
| 70 | std::ranges::sort(buffer, {}, &std::pair<int, std::complex<double>>::first); | ||
| 71 | 56 | } | |
| 72 | |||
| 73 |
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35 | void CoalesceSortedPairs(const std::vector<std::pair<int, std::complex<double>>> &row_sorted, CCS &out, |
| 74 | double drop_magnitude) { | ||
| 75 |
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35 | if (row_sorted.empty()) { |
| 76 | ✗ | return; | |
| 77 | } | ||
| 78 | 35 | int active_row = row_sorted[0].first; | |
| 79 | 35 | std::complex<double> running = row_sorted[0].second; | |
| 80 |
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65 | for (std::size_t idx = 1; idx < row_sorted.size(); ++idx) { |
| 81 | 30 | const int r = row_sorted[idx].first; | |
| 82 |
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30 | if (r == active_row) { |
| 83 | running += row_sorted[idx].second; | ||
| 84 | } else { | ||
| 85 |
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20 | if (std::abs(running) > drop_magnitude) { |
| 86 |
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20 | out.row_index.push_back(active_row); |
| 87 |
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20 | out.nz.push_back(running); |
| 88 | } | ||
| 89 | 20 | active_row = r; | |
| 90 | 20 | running = row_sorted[idx].second; | |
| 91 | } | ||
| 92 | } | ||
| 93 |
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35 | if (std::abs(running) > drop_magnitude) { |
| 94 |
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35 | out.row_index.push_back(active_row); |
| 95 |
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35 | out.nz.push_back(running); |
| 96 | } | ||
| 97 | } | ||
| 98 | |||
| 99 |
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21 | void CoalesceBufferToColumn(const std::vector<std::pair<int, std::complex<double>>> &buffer, |
| 100 | std::vector<std::pair<int, std::complex<double>>> &column, double drop_magnitude) { | ||
| 101 |
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21 | if (buffer.empty()) { |
| 102 | column.clear(); | ||
| 103 | ✗ | return; | |
| 104 | } | ||
| 105 | |||
| 106 | column.clear(); | ||
| 107 | 21 | column.reserve(buffer.size()); | |
| 108 | 21 | int active_row = buffer[0].first; | |
| 109 | 21 | std::complex<double> running = buffer[0].second; | |
| 110 |
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39 | for (std::size_t idx = 1; idx < buffer.size(); ++idx) { |
| 111 | const auto &entry = buffer[idx]; | ||
| 112 |
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18 | if (entry.first == active_row) { |
| 113 | running += entry.second; | ||
| 114 | } else { | ||
| 115 |
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12 | if (std::abs(running) > drop_magnitude) { |
| 116 | 12 | column.emplace_back(active_row, running); | |
| 117 | } | ||
| 118 | 12 | active_row = entry.first; | |
| 119 | 12 | running = entry.second; | |
| 120 | } | ||
| 121 | } | ||
| 122 |
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21 | if (std::abs(running) > drop_magnitude) { |
| 123 | 21 | column.emplace_back(active_row, running); | |
| 124 | } | ||
| 125 | } | ||
| 126 | |||
| 127 | 15 | void SpmmAbc(const CCS &left, const CCS &right, CCS &out, double drop_magnitude) { | |
| 128 | 15 | out.row_count = left.row_count; | |
| 129 | 15 | out.col_count = right.col_count; | |
| 130 |
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15 | out.col_start.assign(static_cast<std::size_t>(out.col_count) + 1U, 0); |
| 131 | out.row_index.clear(); | ||
| 132 | out.nz.clear(); | ||
| 133 |
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15 | if (out.col_count == 0) { |
| 134 | ✗ | return; | |
| 135 | } | ||
| 136 | |||
| 137 | 15 | std::vector<std::pair<int, std::complex<double>>> buffer; | |
| 138 |
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15 | buffer.reserve(128U); |
| 139 | |||
| 140 |
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50 | for (int j = 0; j < right.col_count; ++j) { |
| 141 |
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35 | BuildColumnFromRight(left, right, j, buffer); |
| 142 |
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35 | if (buffer.empty()) { |
| 143 | ✗ | out.col_start[static_cast<std::size_t>(j) + 1U] = static_cast<int>(out.nz.size()); | |
| 144 | ✗ | continue; | |
| 145 | } | ||
| 146 | 35 | SortBufferByRow(buffer); | |
| 147 |
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35 | CoalesceSortedPairs(buffer, out, drop_magnitude); |
| 148 | 35 | out.col_start[static_cast<std::size_t>(j) + 1U] = static_cast<int>(out.nz.size()); | |
| 149 | } | ||
| 150 | } | ||
| 151 | |||
| 152 | 9 | void BuildProductMatrixOmp(const CCS &left, const CCS &right, CCS &out) { | |
| 153 | 9 | out.row_count = left.row_count; | |
| 154 | 9 | out.col_count = right.col_count; | |
| 155 |
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9 | out.col_start.assign(static_cast<std::size_t>(out.col_count) + 1U, 0); |
| 156 | out.row_index.clear(); | ||
| 157 | out.nz.clear(); | ||
| 158 |
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9 | if (out.col_count == 0) { |
| 159 | ✗ | return; | |
| 160 | } | ||
| 161 | |||
| 162 | 9 | std::vector<std::vector<std::pair<int, std::complex<double>>>> columns(static_cast<std::size_t>(out.col_count)); | |
| 163 | 9 | #pragma omp parallel default(none) shared(left, right, columns) | |
| 164 | { | ||
| 165 | std::vector<std::pair<int, std::complex<double>>> buffer; | ||
| 166 | buffer.reserve(128U); | ||
| 167 | |||
| 168 | #pragma omp for schedule(static) | ||
| 169 | for (int j = 0; j < right.col_count; ++j) { | ||
| 170 | auto &column = columns[static_cast<std::size_t>(j)]; | ||
| 171 | BuildColumnFromRight(left, right, j, buffer); | ||
| 172 | if (!buffer.empty()) { | ||
| 173 | SortBufferByRow(buffer); | ||
| 174 | } | ||
| 175 | CoalesceBufferToColumn(buffer, column, kDropMagnitude); | ||
| 176 | } | ||
| 177 | } | ||
| 178 | |||
| 179 |
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30 | for (int j = 0; j < out.col_count; ++j) { |
| 180 | 21 | const int col_size = static_cast<int>(columns[static_cast<std::size_t>(j)].size()); | |
| 181 | 21 | out.col_start[static_cast<std::size_t>(j) + 1U] = out.col_start[static_cast<std::size_t>(j)] + col_size; | |
| 182 | } | ||
| 183 | |||
| 184 | 9 | const auto nnz = static_cast<std::size_t>(out.col_start.back()); | |
| 185 |
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9 | out.row_index.resize(nnz); |
| 186 |
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9 | out.nz.resize(nnz); |
| 187 | |||
| 188 |
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30 | for (int j = 0; j < out.col_count; ++j) { |
| 189 | 21 | const int start = out.col_start[static_cast<std::size_t>(j)]; | |
| 190 | const auto &column = columns[static_cast<std::size_t>(j)]; | ||
| 191 |
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54 | for (std::size_t k = 0; k < column.size(); ++k) { |
| 192 | 33 | const int dst = start + static_cast<int>(k); | |
| 193 | 33 | out.row_index[static_cast<std::size_t>(dst)] = column[k].first; | |
| 194 | 33 | out.nz[static_cast<std::size_t>(dst)] = column[k].second; | |
| 195 | } | ||
| 196 | } | ||
| 197 | 9 | } | |
| 198 | |||
| 199 | ✗ | void BuildProductMatrixTbb(const CCS &left, const CCS &right, CCS &out) { | |
| 200 | ✗ | out.row_count = left.row_count; | |
| 201 | ✗ | out.col_count = right.col_count; | |
| 202 | ✗ | out.col_start.assign(static_cast<std::size_t>(out.col_count) + 1U, 0); | |
| 203 | out.row_index.clear(); | ||
| 204 | out.nz.clear(); | ||
| 205 | ✗ | if (out.col_count == 0) { | |
| 206 | ✗ | return; | |
| 207 | } | ||
| 208 | |||
| 209 | ✗ | std::vector<std::vector<int>> local_row_index(static_cast<std::size_t>(right.col_count)); | |
| 210 | ✗ | std::vector<std::vector<std::complex<double>>> local_nz(static_cast<std::size_t>(right.col_count)); | |
| 211 | ✗ | std::vector<int> local_sizes(static_cast<std::size_t>(right.col_count), 0); | |
| 212 | |||
| 213 | ✗ | oneapi::tbb::parallel_for(oneapi::tbb::blocked_range<int>(0, right.col_count), | |
| 214 | ✗ | [&](const oneapi::tbb::blocked_range<int> &range) { | |
| 215 | ✗ | std::vector<std::pair<int, std::complex<double>>> buffer; | |
| 216 | ✗ | buffer.reserve(128U); | |
| 217 | ✗ | for (int jcol = range.begin(); jcol < range.end(); ++jcol) { | |
| 218 | ✗ | BuildColumnFromRight(left, right, jcol, buffer); | |
| 219 | ✗ | if (!buffer.empty()) { | |
| 220 | ✗ | SortBufferByRow(buffer); | |
| 221 | ✗ | CCS tmp; | |
| 222 | ✗ | CoalesceSortedPairs(buffer, tmp, kDropMagnitude); | |
| 223 | ✗ | local_row_index[static_cast<std::size_t>(jcol)] = std::move(tmp.row_index); | |
| 224 | ✗ | local_nz[static_cast<std::size_t>(jcol)] = std::move(tmp.nz); | |
| 225 | ✗ | } else { | |
| 226 | ✗ | local_row_index[static_cast<std::size_t>(jcol)].clear(); | |
| 227 | ✗ | local_nz[static_cast<std::size_t>(jcol)].clear(); | |
| 228 | } | ||
| 229 | ✗ | local_sizes[static_cast<std::size_t>(jcol)] = static_cast<int>(local_nz[static_cast<std::size_t>(jcol)].size()); | |
| 230 | } | ||
| 231 | ✗ | }); | |
| 232 | |||
| 233 | ✗ | for (int jcol = 0; jcol < right.col_count; ++jcol) { | |
| 234 | ✗ | out.col_start[static_cast<std::size_t>(jcol) + 1U] = | |
| 235 | ✗ | out.col_start[static_cast<std::size_t>(jcol)] + local_sizes[static_cast<std::size_t>(jcol)]; | |
| 236 | } | ||
| 237 | |||
| 238 | ✗ | out.row_index.reserve(static_cast<std::size_t>(out.col_start[static_cast<std::size_t>(out.col_count)])); | |
| 239 | ✗ | out.nz.reserve(static_cast<std::size_t>(out.col_start[static_cast<std::size_t>(out.col_count)])); | |
| 240 | |||
| 241 | ✗ | for (int jcol = 0; jcol < right.col_count; ++jcol) { | |
| 242 | ✗ | const auto idx = static_cast<std::size_t>(jcol); | |
| 243 | ✗ | out.row_index.insert(out.row_index.end(), local_row_index[idx].begin(), local_row_index[idx].end()); | |
| 244 | ✗ | out.nz.insert(out.nz.end(), local_nz[idx].begin(), local_nz[idx].end()); | |
| 245 | } | ||
| 246 | ✗ | } | |
| 247 | } // namespace | ||
| 248 | |||
| 249 |
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6 | SabutaySparseComplexCcsMultAll::SabutaySparseComplexCcsMultAll(const InType &in) { |
| 250 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 251 | GetInput() = in; | ||
| 252 |
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6 | GetOutput() = CCS(); |
| 253 | 6 | } | |
| 254 | |||
| 255 | 24 | void SabutaySparseComplexCcsMultAll::BuildProductMatrix(const CCS &left, const CCS &right, CCS &out, | |
| 256 | ppc::task::TypeOfTask backend) { | ||
| 257 |
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24 | switch (backend) { |
| 258 | 15 | case ppc::task::TypeOfTask::kSEQ: | |
| 259 | case ppc::task::TypeOfTask::kSTL: | ||
| 260 | 15 | SpmmAbc(left, right, out, kDropMagnitude); | |
| 261 | 15 | return; | |
| 262 | 9 | case ppc::task::TypeOfTask::kOMP: | |
| 263 | 9 | BuildProductMatrixOmp(left, right, out); | |
| 264 | 9 | return; | |
| 265 | ✗ | case ppc::task::TypeOfTask::kTBB: | |
| 266 | ✗ | BuildProductMatrixTbb(left, right, out); | |
| 267 | ✗ | return; | |
| 268 | ✗ | case ppc::task::TypeOfTask::kALL: | |
| 269 | case ppc::task::TypeOfTask::kMPI: | ||
| 270 | case ppc::task::TypeOfTask::kUnknown: | ||
| 271 | default: | ||
| 272 | ✗ | SpmmAbc(left, right, out, kDropMagnitude); | |
| 273 | ✗ | return; | |
| 274 | } | ||
| 275 | } | ||
| 276 | |||
| 277 |
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6 | bool SabutaySparseComplexCcsMultAll::ValidationImpl() { |
| 278 | const CCS &left = std::get<0>(GetInput()); | ||
| 279 | const CCS &right = std::get<1>(GetInput()); | ||
| 280 |
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6 | return left.col_count == right.row_count && IsValidStructure(left) && IsValidStructure(right); |
| 281 | } | ||
| 282 | |||
| 283 | 6 | bool SabutaySparseComplexCcsMultAll::PreProcessingImpl() { | |
| 284 | 6 | return true; | |
| 285 | } | ||
| 286 | |||
| 287 | 6 | bool SabutaySparseComplexCcsMultAll::RunImpl() { | |
| 288 | const CCS &left = std::get<0>(GetInput()); | ||
| 289 | const CCS &right = std::get<1>(GetInput()); | ||
| 290 | 6 | const int num_threads = ppc::util::GetNumThreads(); | |
| 291 | 6 | int rank = 0; | |
| 292 | 6 | MPI_Comm_rank(MPI_COMM_WORLD, &rank); | |
| 293 | |||
| 294 | ppc::task::TypeOfTask backend = ppc::task::TypeOfTask::kSEQ; | ||
| 295 |
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6 | if (rank % 4 == 1) { |
| 296 | backend = ppc::task::TypeOfTask::kOMP; | ||
| 297 |
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3 | } else if (rank % 4 == 2) { |
| 298 | backend = ppc::task::TypeOfTask::kSTL; | ||
| 299 |
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3 | } else if (rank % 4 == 3) { |
| 300 | backend = ppc::task::TypeOfTask::kTBB; | ||
| 301 | } | ||
| 302 | 6 | BuildProductMatrix(left, right, GetOutput(), backend); | |
| 303 | |||
| 304 |
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6 | if (rank == 0) { |
| 305 | 3 | std::atomic<int> counter(0); | |
| 306 | 3 | #pragma omp parallel default(none) shared(counter) num_threads(ppc::util::GetNumThreads()) | |
| 307 | counter++; | ||
| 308 | } | ||
| 309 | |||
| 310 | { | ||
| 311 | 6 | std::vector<std::thread> threads(num_threads); | |
| 312 | 6 | std::atomic<int> counter(0); | |
| 313 |
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18 | for (int i = 0; i < num_threads; i++) { |
| 314 |
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12 | threads[i] = std::thread([&]() { counter++; }); |
| 315 |
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12 | threads[i].join(); |
| 316 | } | ||
| 317 | 6 | } | |
| 318 | |||
| 319 | { | ||
| 320 | 6 | std::atomic<int> counter(0); | |
| 321 | 18 | tbb::parallel_for(0, ppc::util::GetNumThreads(), [&](int /*i*/) { counter++; }); | |
| 322 | } | ||
| 323 | |||
| 324 | 6 | MPI_Barrier(MPI_COMM_WORLD); | |
| 325 | 6 | return true; | |
| 326 | } | ||
| 327 | |||
| 328 | 6 | bool SabutaySparseComplexCcsMultAll::PostProcessingImpl() { | |
| 329 | 6 | return true; | |
| 330 | } | ||
| 331 | |||
| 332 | } // namespace sabutay_sparse_complex_ccs_mult_all | ||
| 333 |