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Parallel programming is a technique used to improve the performance of applications by splitting the work into multiple threads or processes that can run simultaneously on different CPUs or CPU cores. OpenMP is a popular API for parallel programming in C++, which provides a set of compiler directives, runtime library routines, and environment variables for shared memory parallel programming. In this article, we will demonstrate how to use OpenMP for parallel matrix multiplication in C++.
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