The STE||AR Group has released V1.8.0 of HPX -- A C++ Standard library for Concurrency and Parallelism.

HPX V1.8.0 Released

We have released HPX 1.8.0 -- a major update to our C++ Standard Library for Concurrency and Parallelism. The HPX parallel algorithms now have been fully adapted to C++20, all existing facilities have been adjusted to conform to this version of the Standard as well. We now can proudly announce full conformance to the C++20 concurrency and parallelism facilities. HPX supports all of the algorithms as specified by C++20. On top of that we support parallel versions of all range-based algorithms and have added support for explicit vectorization to more of our algorithms (using std::experimental::simd). Much work has been done towards implementing P2300 (std::execution) and the underlying senders/receivers facilities. Last but not least, we have finished the refactoring of the whole library into a rather large set of non-cyclically depending components. Finally, the new release comes with a brand new documentation interface!

You can download the release from our releases page or check out the 1.8.0 tag using git. A full list of changes can be found in the release notes.

HPX is a general-purpose parallel C++ runtime system for applications of any scale. It implements all of the related facilities as defined by the C++20 Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 and C++20 parallel algorithms, including a full set of parallel range-based algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of the features related parallelism and concurrency as specified by the upcoming C++23 Standard, the C++ Concurrency TS, Parallelism TS V2, data-parallel algorithms, executors, and many more. It also extends the existing C++ Standard APIs to the distributed case (e.g., compute clusters) and for heterogeneous systems (e.g., GPUs).

HPX seamlessly enables a new Asynchronous C++ Standard Programming Model that tends to improve the parallel efficiency of our applications and helps reducing complexities usually associated with parallelism and concurrency.