commit | fa6cdf24058ac46d2c032135f8adcc06b98afd58 | [log] [tgz] |
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author | Linux Build Service Account <lnxbuild@localhost> | Sun Jan 15 12:04:18 2023 -0800 |
committer | Linux Build Service Account <lnxbuild@localhost> | Sun Jan 15 12:04:18 2023 -0800 |
tree | 093a10236baa01d7379125c7f105e4e980b57bb5 | |
parent | a35d12ddcf4a63281499e9a9bffa0b51130b3e2d [diff] | |
parent | b653c45b94a7313fc75749d5a0c0ae10e01c39ba [diff] |
Merge b653c45b94a7313fc75749d5a0c0ae10e01c39ba on remote branch Change-Id: I0da4086ec8234bb6ed1b21a18491f1b76fe1b772
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; }