commit | 27a8127a13105c7e131928eac4d9c58d08d47408 | [log] [tgz] |
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author | android-build-team Robot <android-build-team-robot@google.com> | Wed Nov 25 02:27:40 2020 +0000 |
committer | android-build-team Robot <android-build-team-robot@google.com> | Wed Nov 25 02:27:40 2020 +0000 |
tree | bdff5f4a93033f04736f1ff8780f11f96c44e31f | |
parent | 5f4654db6387aa83e0cefaa4a768402637b6eb7e [diff] | |
parent | 5bb56c75e52c9e5bdec66fc464d7b7d65f8470f1 [diff] |
Snap for 6993684 from 5bb56c75e52c9e5bdec66fc464d7b7d65f8470f1 to sc-release Change-Id: I82232d140c59dd2f7fda613142544da92328c3f5
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; }