commit | 76f2897a321f98c944bc99a28b906658782e8f3b | [log] [tgz] |
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author | android-build-team Robot <android-build-team-robot@google.com> | Sun Feb 21 00:04:26 2021 +0000 |
committer | android-build-team Robot <android-build-team-robot@google.com> | Sun Feb 21 00:04:26 2021 +0000 |
tree | 0a031ffb45338947eace1b5a83c67c16c196f968 | |
parent | c00699155e43d8b89e0839fc3c55ca48bdb31236 [diff] | |
parent | 08bcb1538635dbffaf1b5d460fc5132c8b95f532 [diff] |
Snap for 7160059 from 08bcb1538635dbffaf1b5d460fc5132c8b95f532 to sc-d1-release Change-Id: I5a03bb40a0b57436cdb85d0c033fae218682cdf4
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; }