commit | 08b70458d63ae4fd86fd133e3fa123bf4544341b | [log] [tgz] |
---|---|---|
author | Haibo Huang <hhb@google.com> | Fri Aug 07 21:52:33 2020 +0000 |
committer | Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com> | Fri Aug 07 21:52:33 2020 +0000 |
tree | bdff5f4a93033f04736f1ff8780f11f96c44e31f | |
parent | 9c7929fce49b06956fdf0f9bb4b1402c76b23e55 [diff] | |
parent | 567f4cf4b3a3359efa711e29b71adb6c1dd7ea40 [diff] |
Upgrade pthreadpool to 029c88620802e1361ccf41d1970bd5b07fd6b7bb am: a85203c348 am: b4e66e0642 am: aeabd9ff75 am: b0d66a6829 am: 567f4cf4b3 Original change: https://android-review.googlesource.com/c/platform/external/pthreadpool/+/1361277 Change-Id: I99fa06b0233e96b570c42402a46d26dd124df6bc
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; }