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|---|---|---|---|
| 1 | #include "sosnina_a_matrix_mult_horizontal/mpi/include/ops_mpi.hpp" | ||
| 2 | |||
| 3 | #include <mpi.h> | ||
| 4 | |||
| 5 | #include <array> | ||
| 6 | #include <cmath> | ||
| 7 | #include <cstddef> | ||
| 8 | #include <vector> | ||
| 9 | |||
| 10 | #include "sosnina_a_matrix_mult_horizontal/common/include/common.hpp" | ||
| 11 | |||
| 12 | namespace sosnina_a_matrix_mult_horizontal { | ||
| 13 | |||
| 14 | 128 | SosninaAMatrixMultHorizontalMPI::SosninaAMatrixMultHorizontalMPI(const InType &in) { | |
| 15 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 16 | 128 | GetOutput() = std::vector<std::vector<double>>(); | |
| 17 | |||
| 18 | 128 | int rank = 0; | |
| 19 |
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128 | MPI_Comm_rank(MPI_COMM_WORLD, &rank); |
| 20 | |||
| 21 |
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128 | if (rank == 0) { |
| 22 |
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64 | matrix_A_ = in.first; |
| 23 |
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64 | matrix_B_ = in.second; |
| 24 | } | ||
| 25 | 128 | } | |
| 26 | |||
| 27 | 128 | bool SosninaAMatrixMultHorizontalMPI::ValidationImpl() { | |
| 28 | 128 | int mpi_initialized = 0; | |
| 29 | 128 | MPI_Initialized(&mpi_initialized); | |
| 30 | |||
| 31 |
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128 | if (mpi_initialized == 0) { |
| 32 | return false; | ||
| 33 | } | ||
| 34 | |||
| 35 | 128 | int size = 1; | |
| 36 | 128 | MPI_Comm_size(MPI_COMM_WORLD, &size); | |
| 37 | 128 | return size >= 1; | |
| 38 | } | ||
| 39 | |||
| 40 | 128 | bool SosninaAMatrixMultHorizontalMPI::PreProcessingImpl() { | |
| 41 | 128 | int rank = 0; | |
| 42 | 128 | int size = 1; | |
| 43 | 128 | MPI_Comm_rank(MPI_COMM_WORLD, &rank); | |
| 44 | 128 | MPI_Comm_size(MPI_COMM_WORLD, &size); | |
| 45 | |||
| 46 | 128 | rank_ = rank; | |
| 47 | 128 | world_size_ = size; | |
| 48 | 128 | GetOutput() = std::vector<std::vector<double>>(); | |
| 49 | |||
| 50 | 128 | return true; | |
| 51 | } | ||
| 52 | |||
| 53 | 128 | bool SosninaAMatrixMultHorizontalMPI::RunImpl() { | |
| 54 |
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128 | if (world_size_ == 1) { |
| 55 | ✗ | return RunSequential(); | |
| 56 | } | ||
| 57 | |||
| 58 | 128 | int rows_a = 0; | |
| 59 | 128 | int cols_a = 0; | |
| 60 | 128 | int rows_b = 0; | |
| 61 | 128 | int cols_b = 0; | |
| 62 | |||
| 63 |
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128 | if (!PrepareAndValidateSizes(rows_a, cols_a, rows_b, cols_b)) { |
| 64 | return true; | ||
| 65 | } | ||
| 66 | |||
| 67 | 128 | std::vector<double> b_flat(static_cast<size_t>(rows_b) * static_cast<size_t>(cols_b)); | |
| 68 |
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128 | PrepareAndBroadcastMatrixB(b_flat, rows_b, cols_b); |
| 69 | |||
| 70 | 128 | std::vector<int> my_row_indices; | |
| 71 | 128 | std::vector<double> local_a_flat; | |
| 72 | 128 | int local_rows = 0; | |
| 73 |
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128 | DistributeMatrixAData(my_row_indices, local_a_flat, local_rows, rows_a, cols_a); |
| 74 | |||
| 75 |
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128 | std::vector<double> local_result_flat(static_cast<size_t>(local_rows) * static_cast<size_t>(cols_b), 0.0); |
| 76 | 128 | ComputeLocalMultiplication(local_a_flat, b_flat, local_result_flat, local_rows, cols_a, cols_b); | |
| 77 | |||
| 78 | 128 | std::vector<double> final_result_flat; | |
| 79 |
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128 | GatherResults(final_result_flat, my_row_indices, local_result_flat, local_rows, rows_a, cols_b); |
| 80 | |||
| 81 |
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128 | ConvertToMatrix(final_result_flat, rows_a, cols_b); |
| 82 | |||
| 83 | return true; | ||
| 84 | } | ||
| 85 | |||
| 86 | ✗ | bool SosninaAMatrixMultHorizontalMPI::RunSequential() { | |
| 87 | ✗ | if (rank_ != 0) { | |
| 88 | return true; | ||
| 89 | } | ||
| 90 | |||
| 91 | const auto &matrix_a = matrix_A_; | ||
| 92 | const auto &matrix_b = matrix_B_; | ||
| 93 | |||
| 94 | ✗ | if (matrix_a.empty() || matrix_b.empty()) { | |
| 95 | ✗ | GetOutput() = std::vector<std::vector<double>>(); | |
| 96 | ✗ | return true; | |
| 97 | } | ||
| 98 | |||
| 99 | size_t rows_a = matrix_a.size(); | ||
| 100 | size_t cols_a = matrix_a[0].size(); | ||
| 101 | size_t cols_b = matrix_b[0].size(); | ||
| 102 | |||
| 103 | auto &output = GetOutput(); | ||
| 104 | ✗ | output = std::vector<std::vector<double>>(rows_a, std::vector<double>(cols_b, 0.0)); | |
| 105 | |||
| 106 | ✗ | for (size_t i = 0; i < rows_a; ++i) { | |
| 107 | ✗ | for (size_t k = 0; k < cols_a; ++k) { | |
| 108 | ✗ | double aik = matrix_a[i][k]; | |
| 109 | ✗ | for (size_t j = 0; j < cols_b; ++j) { | |
| 110 | ✗ | output[i][j] += aik * matrix_b[k][j]; | |
| 111 | } | ||
| 112 | } | ||
| 113 | } | ||
| 114 | |||
| 115 | return true; | ||
| 116 | } | ||
| 117 | |||
| 118 | 128 | bool SosninaAMatrixMultHorizontalMPI::PrepareAndValidateSizes(int &rows_a, int &cols_a, int &rows_b, int &cols_b) { | |
| 119 |
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128 | if (rank_ == 0) { |
| 120 | 64 | rows_a = static_cast<int>(matrix_A_.size()); | |
| 121 |
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64 | cols_a = rows_a > 0 ? static_cast<int>(matrix_A_[0].size()) : 0; |
| 122 | 64 | rows_b = static_cast<int>(matrix_B_.size()); | |
| 123 |
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64 | cols_b = rows_b > 0 ? static_cast<int>(matrix_B_[0].size()) : 0; |
| 124 | } | ||
| 125 | |||
| 126 | 128 | std::array<int, 4> sizes = {rows_a, cols_a, rows_b, cols_b}; | |
| 127 | 128 | MPI_Bcast(sizes.data(), 4, MPI_INT, 0, MPI_COMM_WORLD); | |
| 128 | |||
| 129 | 128 | rows_a = sizes[0]; | |
| 130 | 128 | cols_a = sizes[1]; | |
| 131 | 128 | rows_b = sizes[2]; | |
| 132 | 128 | cols_b = sizes[3]; | |
| 133 | |||
| 134 |
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128 | if (cols_a != rows_b || rows_a == 0 || cols_a == 0 || rows_b == 0 || cols_b == 0) { |
| 135 | ✗ | GetOutput() = std::vector<std::vector<double>>(); | |
| 136 | ✗ | return false; | |
| 137 | } | ||
| 138 | |||
| 139 | return true; | ||
| 140 | } | ||
| 141 | |||
| 142 | 128 | void SosninaAMatrixMultHorizontalMPI::PrepareAndBroadcastMatrixB(std::vector<double> &b_flat, int rows_b, int cols_b) { | |
| 143 |
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128 | if (rank_ == 0) { |
| 144 |
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188 | for (int i = 0; i < rows_b; ++i) { |
| 145 |
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372 | for (int j = 0; j < cols_b; ++j) { |
| 146 | 248 | b_flat[(static_cast<size_t>(i) * static_cast<size_t>(cols_b)) + static_cast<size_t>(j)] = matrix_B_[i][j]; | |
| 147 | } | ||
| 148 | } | ||
| 149 | } | ||
| 150 | |||
| 151 | 128 | MPI_Bcast(b_flat.data(), rows_b * cols_b, MPI_DOUBLE, 0, MPI_COMM_WORLD); | |
| 152 | 128 | } | |
| 153 | |||
| 154 | 64 | void SosninaAMatrixMultHorizontalMPI::FillLocalAFlat(const std::vector<int> &my_row_indices, | |
| 155 | std::vector<double> &local_a_flat, int cols_a) { | ||
| 156 |
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140 | for (size_t idx = 0; idx < my_row_indices.size(); ++idx) { |
| 157 | 76 | int global_row = my_row_indices[idx]; | |
| 158 |
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224 | for (int j = 0; j < cols_a; ++j) { |
| 159 | 148 | local_a_flat[(idx * static_cast<size_t>(cols_a)) + static_cast<size_t>(j)] = matrix_A_[global_row][j]; | |
| 160 | } | ||
| 161 | } | ||
| 162 | 64 | } | |
| 163 | |||
| 164 | 64 | void SosninaAMatrixMultHorizontalMPI::SendRowsToProcess(int dest, const std::vector<int> &dest_rows, int cols_a) { | |
| 165 | 64 | int dest_row_count = static_cast<int>(dest_rows.size()); | |
| 166 | 64 | MPI_Send(&dest_row_count, 1, MPI_INT, dest, 0, MPI_COMM_WORLD); | |
| 167 | |||
| 168 |
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64 | if (dest_row_count > 0) { |
| 169 | 48 | std::vector<int> rows_copy = dest_rows; | |
| 170 |
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48 | MPI_Send(rows_copy.data(), dest_row_count, MPI_INT, dest, 1, MPI_COMM_WORLD); |
| 171 | |||
| 172 |
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48 | std::vector<double> buffer(static_cast<size_t>(dest_row_count) * static_cast<size_t>(cols_a)); |
| 173 |
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96 | for (int idx = 0; idx < dest_row_count; ++idx) { |
| 174 | 48 | int global_row = dest_rows[idx]; | |
| 175 |
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148 | for (int j = 0; j < cols_a; ++j) { |
| 176 | 100 | buffer[(static_cast<size_t>(idx) * static_cast<size_t>(cols_a)) + static_cast<size_t>(j)] = | |
| 177 | 100 | matrix_A_[global_row][j]; | |
| 178 | } | ||
| 179 | } | ||
| 180 | |||
| 181 |
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48 | MPI_Send(buffer.data(), dest_row_count * cols_a, MPI_DOUBLE, dest, 2, MPI_COMM_WORLD); |
| 182 | } | ||
| 183 | 64 | } | |
| 184 | |||
| 185 | 256 | std::vector<int> SosninaAMatrixMultHorizontalMPI::GetRowsForProcess(int process_rank, int rows_a) const { | |
| 186 | 256 | std::vector<int> rows; | |
| 187 |
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752 | for (int i = 0; i < rows_a; ++i) { |
| 188 |
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496 | if (i % world_size_ == process_rank) { |
| 189 | rows.push_back(i); | ||
| 190 | } | ||
| 191 | } | ||
| 192 | 256 | return rows; | |
| 193 | } | ||
| 194 | |||
| 195 | 64 | void SosninaAMatrixMultHorizontalMPI::ReceiveRowsFromRoot(int &local_rows, std::vector<int> &my_row_indices, | |
| 196 | std::vector<double> &local_a_flat, int cols_a) { | ||
| 197 | 64 | MPI_Recv(&local_rows, 1, MPI_INT, 0, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE); | |
| 198 | |||
| 199 |
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64 | if (local_rows > 0) { |
| 200 | 48 | my_row_indices.resize(static_cast<size_t>(local_rows)); | |
| 201 | 48 | local_a_flat.resize(static_cast<size_t>(local_rows) * static_cast<size_t>(cols_a)); | |
| 202 | |||
| 203 | 48 | MPI_Recv(my_row_indices.data(), local_rows, MPI_INT, 0, 1, MPI_COMM_WORLD, MPI_STATUS_IGNORE); | |
| 204 | 48 | MPI_Recv(local_a_flat.data(), local_rows * cols_a, MPI_DOUBLE, 0, 2, MPI_COMM_WORLD, MPI_STATUS_IGNORE); | |
| 205 | } | ||
| 206 | 64 | } | |
| 207 | |||
| 208 | 128 | void SosninaAMatrixMultHorizontalMPI::DistributeMatrixAData(std::vector<int> &my_row_indices, | |
| 209 | std::vector<double> &local_a_flat, int &local_rows, | ||
| 210 | int rows_a, int cols_a) { | ||
| 211 |
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128 | local_rows = (rows_a / world_size_) + (rank_ < (rows_a % world_size_) ? 1 : 0); |
| 212 | |||
| 213 |
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256 | my_row_indices = GetRowsForProcess(rank_, rows_a); |
| 214 | |||
| 215 |
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128 | if (my_row_indices.size() != static_cast<size_t>(local_rows)) { |
| 216 | ✗ | local_rows = static_cast<int>(my_row_indices.size()); | |
| 217 | } | ||
| 218 | |||
| 219 | 128 | local_a_flat.resize(static_cast<size_t>(local_rows) * static_cast<size_t>(cols_a)); | |
| 220 | |||
| 221 |
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128 | if (rank_ == 0) { |
| 222 | 64 | FillLocalAFlat(my_row_indices, local_a_flat, cols_a); | |
| 223 | |||
| 224 |
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128 | for (int dest = 1; dest < world_size_; ++dest) { |
| 225 | 64 | std::vector<int> dest_rows = GetRowsForProcess(dest, rows_a); | |
| 226 |
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64 | SendRowsToProcess(dest, dest_rows, cols_a); |
| 227 | } | ||
| 228 | } else { | ||
| 229 | 64 | ReceiveRowsFromRoot(local_rows, my_row_indices, local_a_flat, cols_a); | |
| 230 | } | ||
| 231 | 128 | } | |
| 232 | |||
| 233 | 64 | void SosninaAMatrixMultHorizontalMPI::CollectLocalResults(const std::vector<int> &my_row_indices, | |
| 234 | const std::vector<double> &local_result_flat, | ||
| 235 | std::vector<double> &final_result_flat, int cols_b) { | ||
| 236 |
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140 | for (size_t idx = 0; idx < my_row_indices.size(); ++idx) { |
| 237 | 76 | int global_row = my_row_indices[idx]; | |
| 238 |
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236 | for (int j = 0; j < cols_b; ++j) { |
| 239 | 160 | final_result_flat[(static_cast<size_t>(global_row) * static_cast<size_t>(cols_b)) + static_cast<size_t>(j)] = | |
| 240 | 160 | local_result_flat[(idx * static_cast<size_t>(cols_b)) + static_cast<size_t>(j)]; | |
| 241 | } | ||
| 242 | } | ||
| 243 | 64 | } | |
| 244 | |||
| 245 | 64 | void SosninaAMatrixMultHorizontalMPI::ReceiveResultsFromProcess(int src, std::vector<double> &final_result_flat, | |
| 246 | int cols_b) const { | ||
| 247 | 64 | int rows_a = static_cast<int>(final_result_flat.size() / cols_b); | |
| 248 | 64 | std::vector<int> src_rows = GetRowsForProcess(src, rows_a); | |
| 249 | 64 | int src_row_count = static_cast<int>(src_rows.size()); | |
| 250 | |||
| 251 |
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64 | if (src_row_count > 0) { |
| 252 |
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48 | std::vector<double> buffer(static_cast<size_t>(src_row_count) * static_cast<size_t>(cols_b)); |
| 253 |
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48 | MPI_Recv(buffer.data(), src_row_count * cols_b, MPI_DOUBLE, src, 3, MPI_COMM_WORLD, MPI_STATUS_IGNORE); |
| 254 | |||
| 255 |
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96 | for (int idx = 0; idx < src_row_count; ++idx) { |
| 256 | 48 | int global_row = src_rows[idx]; | |
| 257 |
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156 | for (int j = 0; j < cols_b; ++j) { |
| 258 | 108 | final_result_flat[(static_cast<size_t>(global_row) * static_cast<size_t>(cols_b)) + static_cast<size_t>(j)] = | |
| 259 | 108 | buffer[(static_cast<size_t>(idx) * static_cast<size_t>(cols_b)) + static_cast<size_t>(j)]; | |
| 260 | } | ||
| 261 | } | ||
| 262 | } | ||
| 263 | 64 | } | |
| 264 | |||
| 265 | 64 | void SosninaAMatrixMultHorizontalMPI::SendLocalResults(const std::vector<double> &local_result_flat, int local_rows, | |
| 266 | int cols_b) { | ||
| 267 |
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64 | if (local_rows > 0) { |
| 268 | 48 | std::vector<double> data_copy = local_result_flat; | |
| 269 |
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48 | MPI_Send(data_copy.data(), local_rows * cols_b, MPI_DOUBLE, 0, 3, MPI_COMM_WORLD); |
| 270 | } | ||
| 271 | 64 | } | |
| 272 | |||
| 273 | 128 | void SosninaAMatrixMultHorizontalMPI::GatherResults(std::vector<double> &final_result_flat, | |
| 274 | const std::vector<int> &my_row_indices, | ||
| 275 | const std::vector<double> &local_result_flat, int local_rows, | ||
| 276 | int rows_a, int cols_b) const { | ||
| 277 |
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128 | if (rank_ == 0) { |
| 278 | 64 | final_result_flat.resize(static_cast<size_t>(rows_a) * static_cast<size_t>(cols_b), 0.0); | |
| 279 | |||
| 280 | 64 | CollectLocalResults(my_row_indices, local_result_flat, final_result_flat, cols_b); | |
| 281 | |||
| 282 |
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128 | for (int src = 1; src < world_size_; ++src) { |
| 283 | 64 | ReceiveResultsFromProcess(src, final_result_flat, cols_b); | |
| 284 | } | ||
| 285 | |||
| 286 | 64 | MPI_Bcast(final_result_flat.data(), rows_a * cols_b, MPI_DOUBLE, 0, MPI_COMM_WORLD); | |
| 287 | } else { | ||
| 288 | 64 | SendLocalResults(local_result_flat, local_rows, cols_b); | |
| 289 | |||
| 290 | 64 | final_result_flat.resize(static_cast<size_t>(rows_a) * static_cast<size_t>(cols_b)); | |
| 291 | 64 | MPI_Bcast(final_result_flat.data(), rows_a * cols_b, MPI_DOUBLE, 0, MPI_COMM_WORLD); | |
| 292 | } | ||
| 293 | 128 | } | |
| 294 | |||
| 295 | 128 | void SosninaAMatrixMultHorizontalMPI::ComputeLocalMultiplication(const std::vector<double> &local_a_flat, | |
| 296 | const std::vector<double> &b_flat, | ||
| 297 | std::vector<double> &local_result_flat, int local_rows, | ||
| 298 | int cols_a, int cols_b) { | ||
| 299 |
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252 | for (int i = 0; i < local_rows; ++i) { |
| 300 | 124 | const double *a_row = &local_a_flat[static_cast<size_t>(i) * static_cast<size_t>(cols_a)]; | |
| 301 | 124 | double *result_row = &local_result_flat[static_cast<size_t>(i) * static_cast<size_t>(cols_b)]; | |
| 302 | |||
| 303 |
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372 | for (int k = 0; k < cols_a; ++k) { |
| 304 | 248 | double aik = a_row[k]; | |
| 305 | 248 | const double *b_row = &b_flat[static_cast<size_t>(k) * static_cast<size_t>(cols_b)]; | |
| 306 | |||
| 307 |
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792 | for (int j = 0; j < cols_b; ++j) { |
| 308 | 544 | result_row[j] += aik * b_row[j]; | |
| 309 | } | ||
| 310 | } | ||
| 311 | } | ||
| 312 | 128 | } | |
| 313 | |||
| 314 | 128 | void SosninaAMatrixMultHorizontalMPI::ConvertToMatrix(const std::vector<double> &final_result_flat, int rows_a, | |
| 315 | int cols_b) { | ||
| 316 |
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128 | std::vector<std::vector<double>> result_matrix(rows_a, std::vector<double>(cols_b)); |
| 317 | |||
| 318 |
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376 | for (int i = 0; i < rows_a; ++i) { |
| 319 |
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784 | for (int j = 0; j < cols_b; ++j) { |
| 320 | 536 | result_matrix[i][j] = | |
| 321 | 536 | final_result_flat[(static_cast<size_t>(i) * static_cast<size_t>(cols_b)) + static_cast<size_t>(j)]; | |
| 322 | } | ||
| 323 | } | ||
| 324 | |||
| 325 |
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128 | GetOutput() = result_matrix; |
| 326 | 128 | } | |
| 327 | |||
| 328 | 128 | bool SosninaAMatrixMultHorizontalMPI::PostProcessingImpl() { | |
| 329 | 128 | return true; | |
| 330 | } | ||
| 331 | |||
| 332 | } // namespace sosnina_a_matrix_mult_horizontal | ||
| 333 |