| Line | Branch | Exec | Source |
|---|---|---|---|
| 1 | #include "trofimov_n_hoar_sort_batcher/omp/include/ops_omp.hpp" | ||
| 2 | |||
| 3 | #include <algorithm> | ||
| 4 | #include <vector> | ||
| 5 | |||
| 6 | #include "trofimov_n_hoar_sort_batcher/common/include/common.hpp" | ||
| 7 | |||
| 8 | namespace trofimov_n_hoar_sort_batcher { | ||
| 9 | |||
| 10 | namespace { | ||
| 11 | |||
| 12 | ✗ | int HoarePartition(std::vector<int> &arr, int left, int right) { | |
| 13 | ✗ | const int pivot = arr[left + ((right - left) / 2)]; | |
| 14 | ✗ | int i = left - 1; | |
| 15 | ✗ | int j = right + 1; | |
| 16 | |||
| 17 | while (true) { | ||
| 18 | ✗ | while (arr[++i] < pivot) { | |
| 19 | } | ||
| 20 | |||
| 21 | ✗ | while (arr[--j] > pivot) { | |
| 22 | } | ||
| 23 | |||
| 24 | ✗ | if (i >= j) { | |
| 25 | ✗ | return j; | |
| 26 | } | ||
| 27 | |||
| 28 | std::swap(arr[i], arr[j]); | ||
| 29 | } | ||
| 30 | } | ||
| 31 | |||
| 32 | 42 | void QuickSortOmpTask(std::vector<int> &arr, int left, int right, int depth_limit) { | |
| 33 |
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42 | if (left >= right) { |
| 34 | return; | ||
| 35 | } | ||
| 36 | |||
| 37 | constexpr int kSequentialThreshold = 1024; | ||
| 38 | |||
| 39 |
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42 | if ((right - left) < kSequentialThreshold || depth_limit <= 0) { |
| 40 | 42 | std::sort(arr.begin() + left, arr.begin() + right + 1); | |
| 41 | 42 | return; | |
| 42 | } | ||
| 43 | |||
| 44 | ✗ | const int split = HoarePartition(arr, left, right); | |
| 45 | |||
| 46 | ✗ | #pragma omp task default(none) shared(arr) \ | |
| 47 | ✗ | firstprivate(left, split, depth_limit) if ((split - left) > kSequentialThreshold) | |
| 48 | QuickSortOmpTask(arr, left, split, depth_limit - 1); | ||
| 49 | |||
| 50 | ✗ | #pragma omp task default(none) shared(arr) \ | |
| 51 | ✗ | firstprivate(split, right, depth_limit) if ((right - (split + 1)) > kSequentialThreshold) | |
| 52 | QuickSortOmpTask(arr, split + 1, right, depth_limit - 1); | ||
| 53 | |||
| 54 | ✗ | #pragma omp taskwait | |
| 55 | } | ||
| 56 | |||
| 57 | } // namespace | ||
| 58 | |||
| 59 |
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50 | TrofimovNHoarSortBatcherOMP::TrofimovNHoarSortBatcherOMP(const InType &in) { |
| 60 | SetTypeOfTask(GetStaticTypeOfTask()); | ||
| 61 |
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50 | GetInput() = in; |
| 62 | 50 | } | |
| 63 | |||
| 64 | 50 | bool TrofimovNHoarSortBatcherOMP::ValidationImpl() { | |
| 65 | 50 | return true; | |
| 66 | } | ||
| 67 | |||
| 68 | 50 | bool TrofimovNHoarSortBatcherOMP::PreProcessingImpl() { | |
| 69 | 50 | GetOutput() = GetInput(); | |
| 70 | 50 | return true; | |
| 71 | } | ||
| 72 | |||
| 73 |
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50 | bool TrofimovNHoarSortBatcherOMP::RunImpl() { |
| 74 | auto &data = GetOutput(); | ||
| 75 | |||
| 76 |
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50 | if (data.size() <= 1) { |
| 77 | return true; | ||
| 78 | } | ||
| 79 | |||
| 80 | 42 | #pragma omp parallel default(none) shared(data) | |
| 81 | { | ||
| 82 | #pragma omp single nowait | ||
| 83 | { | ||
| 84 | QuickSortOmpTask(data, 0, static_cast<int>(data.size()) - 1, 4); | ||
| 85 | } | ||
| 86 | } | ||
| 87 | |||
| 88 | 42 | return true; | |
| 89 | } | ||
| 90 | |||
| 91 | 50 | bool TrofimovNHoarSortBatcherOMP::PostProcessingImpl() { | |
| 92 | 50 | return true; | |
| 93 | } | ||
| 94 | |||
| 95 | } // namespace trofimov_n_hoar_sort_batcher | ||
| 96 |