Clang doesn't support OpenMP (yet) but is it possible to implement a "parallel for" with C++11 ?
Clang fully supports OpenMP 4.5. Clang supports offloading to X86_64, AArch64, PPC64[LE] and has basic support for Cuda devices.
OpenMP is extensively used as a second level to improve parallelism inside each MPI domain.
OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, on many platforms, instruction-set architectures and operating systems, including Solaris, AIX, FreeBSD, HP-UX, Linux, macOS, and Windows.
OpenMP is an Application Programming Interface (API) to write shared memory parallel applications in C, C++ and Fortran.
OpenMP version :
// parallelfor_gcc.cpp
// g++ -O2 -Wall -std=c++11 -fopenmp parallelfor_gcc.cpp
#include <cmath>
#include <vector>
int main() {
unsigned int size = 1e8;
std::vector<double> vect(size);
#pragma omp parallel for
for (unsigned int i=0; i<size; i++) {
vect[i] = sin(2*M_PI*i/(double)size);
}
return 0;
}
C++11 version:
// parallelfor_clang.cpp
// clang++ -O4 -Wall -std=c++11 -lpthread parallelfor_clang.cpp
#include <cmath>
#include <thread>
#include <vector>
void parallelFor(const unsigned int size,
std::function<void(const unsigned int)> func) {
const unsigned int nbThreads = std::thread::hardware_concurrency();
std::vector < std::thread > threads;
for (unsigned int idThread = 0; idThread < nbThreads; idThread++) {
auto threadFunc = [=, &threads]() {
for (unsigned int i=idThread; i<size; i+=nbThreads) {
func(i);
}
};
threads.push_back(std::thread(threadFunc));
}
for (auto & t : threads) t.join();
}
int main() {
unsigned int size = 1e8;
std::vector<double> vect(size);
auto myFunc = [=, &vect](unsigned int i){
vect[i] = sin(2*M_PI*i/(double)size);
};
parallelFor(size, myFunc);
return 0;
}
OpenMP clauses (firstprivate...) can be implemented in the same way but it's (a little) more work...
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