OpenMP | Introduction with Installation Guide

After a long thirst for parallelizing highly regular loops in matrix-oriented numerical programming, OpenMP was introduced by OpenMP Architecture Review Board (ARB) on 1997. In the subsequent releases, the enthusiastic OpenMP team added many features to it including the task parallelizing, support for accelerators, user-defined reductions and lot more. The latest OpenMP 5.0 release was made in 2018 November.

Open Multi-processing (OpenMP) is a technique of parallelizing a section(s) of C/C++/Fortran code. OpenMP is also seen as an extension to C/C++/Fortran languages by adding the parallelizing features to them. In general, OpenMP uses a portable, scalable model that gives programmers a simple and flexible interface for developing parallel applications for platforms that ranges from the normal desktop computer to the high-end supercomputers.

A process is created by the OS to execute a program with given resources(memory, registers); generally, different processes do not share their memory with another. A thread is a subset of a process, and it shares the resources of its parent process but has its own stack to keep track of function calls. Multiple threads of a process will have access to the same memory.

Parallel Memory Architectures
Before getting deep into OpenMP, let’s revive the basic parallel memory architectures.
These are divided into three categories;

Steps for Installation of OpenMP

Running First Code in OpenMP





// OpenMP header
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
int main(int argc, char* argv[])
    int nthreads, tid;
    // Begin of parallel region
    #pragma omp parallel private(nthreads, tid)
        // Getting thread number
        tid = omp_get_thread_num();
        printf("Welcome to GFG from thread = %d\n",
        if (tid == 0) {
            // Only master thread does this
            nthreads = omp_get_num_threads();
            printf("Number of threads = %d\n",


This program will print a message which will be getting executed by various threads.

gcc -o gfg -fopenmp geeksforgeeks.c


Attention reader! Don’t stop learning now. Get hold of all the important DSA concepts with the DSA Self Paced Course at a student-friendly price and become industry ready.

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :
Practice Tags :