| commit | 08bcb1538635dbffaf1b5d460fc5132c8b95f532 | [log] [tgz] |
|---|---|---|
| author | Xin Li <delphij@google.com> | Sat Feb 20 15:37:52 2021 +0000 |
| committer | Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com> | Sat Feb 20 15:37:52 2021 +0000 |
| tree | 0a031ffb45338947eace1b5a83c67c16c196f968 | |
| parent | b6ae35c02d7b1d9f352e14ad4879dd7bc8fb875b [diff] | |
| parent | 8b446e09b716698eabcf29b509b5cf419b43cd1e [diff] |
[automerger skipped] Mark ab/7061308 as merged in stage. am: bf08f8656c -s ours am: 8b446e09b7 -s ours am skip reason: Change-Id I58f93853b625f5ebe5b111c246d42ca1e3f2cc83 with SHA-1 10f0fc2b24 is in history Original change: undetermined MUST ONLY BE SUBMITTED BY AUTOMERGER Change-Id: I377587d15dea202032a2dbcfabe39fa48228aece
pthreadpool is a portable and efficient thread pool implementation. It provides similar functionality to #pragma omp parallel for, but with additional features.
The following example demonstates using the thread pool for parallel addition of two arrays:
static void add_arrays(struct array_addition_context* context, size_t i) { context->sum[i] = context->augend[i] + context->addend[i]; } #define ARRAY_SIZE 4 int main() { double augend[ARRAY_SIZE] = { 1.0, 2.0, 4.0, -5.0 }; double addend[ARRAY_SIZE] = { 0.25, -1.75, 0.0, 0.5 }; double sum[ARRAY_SIZE]; pthreadpool_t threadpool = pthreadpool_create(0); assert(threadpool != NULL); const size_t threads_count = pthreadpool_get_threads_count(threadpool); printf("Created thread pool with %zu threads\n", threads_count); struct array_addition_context context = { augend, addend, sum }; pthreadpool_parallelize_1d(threadpool, (pthreadpool_task_1d_t) add_arrays, (void*) &context, ARRAY_SIZE, PTHREADPOOL_FLAG_DISABLE_DENORMALS /* flags */); pthreadpool_destroy(threadpool); threadpool = NULL; printf("%8s\t%.2lf\t%.2lf\t%.2lf\t%.2lf\n", "Augend", augend[0], augend[1], augend[2], augend[3]); printf("%8s\t%.2lf\t%.2lf\t%.2lf\t%.2lf\n", "Addend", addend[0], addend[1], addend[2], addend[3]); printf("%8s\t%.2lf\t%.2lf\t%.2lf\t%.2lf\n", "Sum", sum[0], sum[1], sum[2], sum[3]); return 0; }