The OpenMP API supports multi-platform shared-memory parallel programming in C/C++ and Fortran. The OpenMP API defines a portable, scalable model with a simple and flexible interface for …

This Technical Report augments the OpenMP API Specification, version 4.5, with language features for task reductions, defines a runtime interface for performance and correctness tools (OMPT), …

The following compound directives are created following the rules defined in Section 19 and Appendix D of the OpenMP API version 6.0 specification. The combined directives shown here are examples of …

These 12- to 20-page documents provide a quick reference to the OpenMP API with section numbers that refer you to where you can find greater detail in the full specification.

Stack Overflow, social media links, a contact form, and more — If you have questions about the OpenMP API and its use, then we here are some options for getting help.

The OpenMP® API is a scalable model that gives parallel programmers a simple and flexible interface for developing portable parallel applications in C/C++ and Fortran.

The OpenMP API defines a portable, scalable model with a simple and flexible interface for developing parallel applications on platforms from the desktop to the supercomputer.

This is a Clang/LLVM and Classic Flang based compiler suite with OpenMP version 5.0 and a good subset of OpenMP versions 5.1 & 5.2 supported for C/C++ and OpenMP version 4.5 supported for …

Introduction to OpenMP tutorial from Lawrence Livermore National Lab. Tutorial on OdinMP C/C++ OpenMP compiler, support for instrumentation, and the run-time system for OpenMP developed in …

“By combining OpenMP’s proven standard for high-performance parallel computing with Anaconda’s decade-plus experience in Python performance engineering and compiler technology, we’re …