GCC Code Coverage Report


Directory: ./
File: tasks/goriacheva_k_mult_sparse_complex_matrix_ccs/omp/src/ops_omp.cpp
Date: 2026-04-02 17:12:27
Exec Total Coverage
Lines: 43 44 97.7%
Functions: 6 6 100.0%
Branches: 27 44 61.4%

Line Branch Exec Source
1 #include "goriacheva_k_mult_sparse_complex_matrix_ccs/omp/include/ops_omp.hpp"
2
3 #include <algorithm>
4 #include <ranges>
5 #include <vector>
6
7 #include "goriacheva_k_mult_sparse_complex_matrix_ccs/common/include/common.hpp"
8
9 namespace goriacheva_k_mult_sparse_complex_matrix_ccs {
10
11
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56 GoriachevaKMultSparseComplexMatrixCcsOMP::GoriachevaKMultSparseComplexMatrixCcsOMP(const InType &in) {
12 SetTypeOfTask(GetStaticTypeOfTask());
13 GetInput() = in;
14 56 }
15
16 56 bool GoriachevaKMultSparseComplexMatrixCcsOMP::ValidationImpl() {
17 auto &[a, b] = GetInput();
18
19
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56 if (a.cols != b.rows) {
20 return false;
21 }
22
23
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56 if (a.col_ptr.empty() || b.col_ptr.empty()) {
24 return false;
25 }
26
27 return true;
28 }
29
30 56 bool GoriachevaKMultSparseComplexMatrixCcsOMP::PreProcessingImpl() {
31 56 GetOutput() = {};
32 56 return true;
33 }
34
35 namespace {
36 164 void ProcessColumn(int j, const SparseMatrixCCS &a, const SparseMatrixCCS &b, std::vector<Complex> &values,
37 std::vector<int> &rows) {
38 164 std::vector<Complex> accumulator(a.rows);
39
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164 std::vector<int> marker(a.rows, -1);
40 164 std::vector<int> used_rows;
41
42
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276 for (int bi = b.col_ptr[j]; bi < b.col_ptr[j + 1]; bi++) {
43 112 int k = b.row_ind[bi];
44 112 Complex b_val = b.values[bi];
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46
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220 for (int ai = a.col_ptr[k]; ai < a.col_ptr[k + 1]; ai++) {
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108 int i = a.row_ind[ai];
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108 if (marker[i] != j) {
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108 marker[i] = j;
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108 accumulator[i] = Complex(0.0, 0.0);
52 used_rows.push_back(i);
53 }
54
55 accumulator[i] += a.values[ai] * b_val;
56 }
57 }
58
59 std::ranges::sort(used_rows);
60
61
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272 for (int r : used_rows) {
62
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108 if (accumulator[r] != Complex(0.0, 0.0)) {
63 rows.push_back(r);
64 values.push_back(accumulator[r]);
65 }
66 }
67 164 }
68 } // namespace
69
70 56 bool GoriachevaKMultSparseComplexMatrixCcsOMP::RunImpl() {
71 auto &a = std::get<0>(GetInput());
72 auto &b = std::get<1>(GetInput());
73 auto &c = GetOutput();
74
75 56 c.rows = a.rows;
76 56 c.cols = b.cols;
77 56 c.col_ptr.resize(c.cols + 1);
78
79 56 std::vector<std::vector<Complex>> local_values(c.cols);
80
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56 std::vector<std::vector<int>> local_rows(c.cols);
81
82 56 #pragma omp parallel for default(none) shared(a, b, local_values, local_rows)
83 for (int j = 0; j < b.cols; j++) {
84 ProcessColumn(j, a, b, local_values[j], local_rows[j]);
85 }
86
87 int nnz = 0;
88
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220 for (int j = 0; j < c.cols; j++) {
89 164 c.col_ptr[j] = nnz;
90 164 nnz += static_cast<int>(local_values[j].size());
91 }
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56 c.col_ptr[c.cols] = nnz;
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56 c.values.reserve(nnz);
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56 c.row_ind.reserve(nnz);
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220 for (int j = 0; j < c.cols; j++) {
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164 c.values.insert(c.values.end(), local_values[j].begin(), local_values[j].end());
99 164 c.row_ind.insert(c.row_ind.end(), local_rows[j].begin(), local_rows[j].end());
100 }
101
102 56 return true;
103 56 }
104
105 56 bool GoriachevaKMultSparseComplexMatrixCcsOMP::PostProcessingImpl() {
106 56 return true;
107 }
108
109 } // namespace goriacheva_k_mult_sparse_complex_matrix_ccs
110