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Our previous blog post about OpenMP support in Visual Studio announced support for the loop feature in version 17.8.  In the meantime, we have continued working on improving the feature and, in Visual Studio 2022 17.10, we have added a new, more efficient algorithm for partitioning work of certain types of collapsed triangular loops supported b...

The MSVC compiler adds support for OpenMP "collapse" feature on for loops.

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In Visual Studio 2022 version 17.3 we have continued to improve the C++ backend with new features, new and improved optimizations, build throughput improvements, and better security. Here is a list of improvements for you to review. Do you want to experience the new improvements of the C++ backen...

The MSVC compiler adds support for OpenMP tasks with the /openmp:llvm flag.

In our previous blog post about improved OpenMP support in Visual Studio, we announced the addition of the -openmp:llvm switch in Visual Studio 2019 version 16.9 to enable compiled programs to target LLVM’s OpenMP runtime library for the x64 architecture. This switch supports all the OpenMP 2.0 directives that -openmp supports, as well as unsigned ...

In Visual Studio 2019 version 16.10 Preview 2 we have continued to improve the C++ backend with new features, new and improved optimizations, build throughput improvements, and better security. Here is a brief list of improvements for you to review.  ...

In Visual Studio 2019 version 16.9 we shipped the first stage in our plan to support newer versions of the OpenMP standard in C++ under the -openmp:llvm flag. This flag currently enables several correctness fixes and the use of unsigned integers in parallel for loops.

In Visual Studio 2019 version 16.9 Preview 3 we have continued to improve the C++ backend with new features, new and improved optimizations, build throughput improvements, and better security. Here is a brief list of improvements for you to review.  Do you want to experience t...

In the era of ubiquitous AI applications there is an emerging demand of the compiler accelerating computation-intensive machine-learning code for existing hardware. Such code usually does mathematical computation like matrix transformation and manipulation and it is usually in the form of loops. The SIMD extension of OpenMP provides users an effort...