Fix race condition in the work processing
1 file changed
tree: 12f5a28eeb09ba1a1ab991b22c7829dd000d59e3
  1. examples/
  2. include/
  3. src/
  4. test/
  5. .gitignore
  6. configure.ac
  7. configure.py
  8. LICENSE
  9. Makefile.am
  10. README.md
README.md

pthreadpool

pthreadpool is a pthread-based thread pool implementation. Is is intended to provide functionality of #pragma omp parallel for for POSIX systems where OpenMP is not available.

Features:

  • C interface (C++-compatible).
  • Run on user-specified or auto-detected number of threads.
  • Work-stealing scheduling for efficient work balancing.
  • Can be used in Portable Native Client and Native Client environment.
  • Extensive unit tests based on Google Test.

Example

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_compute_1d(threadpool,
    (pthreadpool_function_1d_t) add_arrays,
    (void**) &context,
    ARRAY_SIZE);

  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;
}