| commit | e9ee9b3ef62fb9438d5d8f18239d37e3b0352e8e | [log] [tgz] |
|---|---|---|
| author | Android Build Coastguard Worker <[email protected]> | Fri Jan 10 13:59:52 2025 -0800 |
| committer | Android Build Coastguard Worker <[email protected]> | Fri Jan 10 13:59:52 2025 -0800 |
| tree | fb005a8f822e9a8f781f4d815076b53c3fb58d98 | |
| parent | 85894cb2e2d69ceafa503d90d10fe15276edf31e [diff] | |
| parent | d7877d57244f21ec414dc367fa537835aef3d7d1 [diff] |
Snap for 12901447 from d7877d57244f21ec414dc367fa537835aef3d7d1 to simpleperf-release Change-Id: I04e9a25e449fbb3ab78769ccbed85e589b70bdeb
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; }