commit | 9c7929fce49b06956fdf0f9bb4b1402c76b23e55 | [log] [tgz] |
---|---|---|
author | Haibo Huang <hhb@google.com> | Fri May 15 20:59:13 2020 +0000 |
committer | Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com> | Fri May 15 20:59:13 2020 +0000 |
tree | e5e242d87b75c0165976161c49c5481e657b3ad2 | |
parent | 3bc3e7374a22b4e3bfc7a4610f9e900fd371e032 [diff] | |
parent | 94cf2fca747619cd3a944b81dd1a049a31616b94 [diff] |
Upgrade pthreadpool to 9b2c0caf7d9843f25709178b0cd7030892a1ff88 am: 50c19eb2c9 am: 94500f8156 am: 608343ca3e am: 690d528229 am: 94cf2fca74 Change-Id: Ia1e76b8377d382b935f82304d5f7fcc092917f32
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; }