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OpenMP

OpenMP (Open Multi-Processing) is an API that supports multi-platform shared-memory parallel programming in C, C++, and Fortran. It provides a set of compiler directives, library routines, and environment variables to enable developers to write parallel applications that can run on multi-core processors and shared-memory systems. OpenMP simplifies parallel programming by allowing incremental parallelization of serial code through pragmas.

Also known as: Open Multi-Processing, OpenMP API, OMP, OpenMP C++, OpenMP Fortran
🧊Why learn OpenMP?

Developers should learn OpenMP when working on computationally intensive tasks in scientific computing, numerical simulations, or data processing that can benefit from parallel execution on multi-core CPUs. It is particularly useful for applications with loops that can be parallelized, such as matrix operations or image processing, as it offers a straightforward way to leverage multiple cores without extensive low-level threading code. Use cases include high-performance computing (HPC), engineering simulations, and financial modeling where performance gains from parallelism are critical.

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