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NoName
Our project: C++11 Threads Library Comparison to OpenMP
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Oct 17th:
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OpenMp vs C++ 11 Threads
What are C++ 11 Threads
With the introduction of C++ 11, there were major changes and additions made to the C++ Standard libraries. One of the most significant changes was the inclusion of multi-threading libraries. Before C++ 11 in order to implement multi-threading, external libraries or language extensions such as OpenMp was required. The C++ 11 thread support library includes these 4 files to enable multi-threading
- <thread> - class and namespace for working with threads
- <mutex> - provides support for mutual exclusion
- <contition_variable> - a synchronization primitive that can be used to block a thread, or multiple threads at the same time, until another thread both modifies a shared variable (the condition), and notifies the condition_variable.
- <future> - Describes components that a C++ program can use to retrieve in one thread the result (value or exception) from a function that has run in the same thread or another thread.
Programming Models
SPMD
An example of the SPMD programming model in STD Threads using an atomic barrier
#include <iostream> #include <iomanip> #include <cstdlib> #include <chrono> #include <vector> #include <thread> #include <atomic> using namespace std::chrono; std::atomic<double> pi; void reportTime(const char* msg, steady_clock::duration span) { auto ms = duration_cast<milliseconds>(span); std::cout << msg << " - took - " << ms.count() << " milliseconds" << std::endl; } void run(int ID, double stepSize, int nthrds, int n) { double x; double sum = 0.0; for (int i = ID; i < n; i = i + nthrds){ x = (i + 0.5)*stepSize; sum += 4.0 / (1.0 + x*x); } sum = sum * stepSize; pi = pi + sum; } int main(int argc, char** argv) { if (argc != 3) { std::cerr << argv[0] << ": invalid number of arguments\n"; return 1; } int n = atoi(argv[1]); int numThreads = atoi(argv[2]); steady_clock::time_point ts, te; // calculate pi by integrating the area under 1/(1 + x^2) in n steps ts = steady_clock::now(); std::vector<std::thread> threads(numThreads); double stepSize = 1.0 / (double)n; for (int ID = 0; ID < numThreads; ID++) { int nthrds = std::thread::hardware_concurrency(); if (ID == 0) numThreads = nthrds; threads[ID] = std::thread(run, ID, stepSize, 8, n); } te = steady_clock::now(); for (int i = 0; i < numThreads; i++){ threads[i].join(); } std::cout << "n = " << n << std::fixed << std::setprecision(15) << "\n pi(exact) = " << 3.141592653589793 << "\n pi(calcd) = " << pi << std::endl; reportTime("Integration", te - ts); // terminate char c; std::cout << "Press Enter key to exit ... "; std::cin.get(c); }