HPX V1.4 released -- STE||AR Group

By Hartmut Kaiser | Jan 15, 2020 06:12 PM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.4 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.4 Released

The newest version of HPX (V1.4) is now available for download! This release focuses on performance and stability improvements. Please see here for the full 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++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of 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 parellism and concurrency.

HPX V1.3 released -- STE||AR Group

By Hartmut Kaiser | May 23, 2019 09:31 AM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.3 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.3 Released

The newest version of HPX (V1.3) is now available for download! This release focuses on performance and stability improvements. Please see here for the full 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++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of 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 parellism and concurrency.

HPX V1.2.1 released -- STE||AR Group

By Hartmut Kaiser | Feb 20, 2019 06:21 AM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.2.1 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.2.1 Released

The newest version of HPX (V1.2.1) is now available for download! Please see here for the release notes. This release is a pure bug fix release that addresses a couple of compatibility problems (in particular with Boost V1.69). We have also included some important improvements that were merged since the previous release.

    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++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of 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 parellism and concurrency.

HPX V1.2 released -- STE||AR Group

By Hartmut Kaiser | Nov 13, 2018 08:22 AM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.2 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.2 Released

The newest version of HPX (V1.2) is now available for download! Please see here for the release notes. This release is the first in our more frequent release schedule. We are aiming to produce one release every six months in an effort to get new features and stable releases out to users more quickly.

    HPX exposes an API fully conforming to the parts of the C++11/C++14/C++17 standards that are related to parallelism and concurrency, extended and applied to distributed and heterogeneous computing, and aligned with the ongoing standardization discussions.

    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++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of 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 which tends to improve the parallel efficiency of our applications and helps reducing complexities usually associated with parellism and concurrency.

HPX V1.1 released -- STE||AR Group

By Hartmut Kaiser | Mar 24, 2018 07:20 AM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.0 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.1 Released

The newest version of HPX (V1.1) is now available for download! Please see here for the release notes.

HPX exposes an API fully conforming to the concurrency related parts of the C++11/C++14/C++17 standards, extended and applied to distributed and heterogeneous computing, and aligned with the ongoing standardization discussions.

    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++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of the C++ Concurrency TS, task blocks, data-parallel algorithms, executors, index-based parallel for loops, 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 which tends to improve the parallel efficiency of our applications and helps reduce complexities usually associated with concurrency

HPX version 1.0 released -- STE||AR Group

By Hartmut Kaiser | Apr 24, 2017 06:01 AM | Tags: performance parallelism heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V1.0 of HPX -- A C++ Standard library for parallelism and concurrency.

HPX V1.0 Released

The newest version of HPX (V1.0) is now available for download! Please see here for the release notes.

HPX exposes an API fully conforming to the concurrency related parts of the C++11/C++14/C++17 standards, extended and applied to distributed and heterogeneous computing, and aligned with the ongoing standardization discussions.

From the announcement:

• 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++ Standard. As of this writing, HPX provides the only widely available open-source implementation of the new C++17 parallel algorithms. Additionally, HPX implements functionalities proposed as part of the ongoing C++ standardization process, such as large parts of the C++ Concurrency TS, task blocks, data-parallel algorithms, executors, index-based parallel for loops, 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 which tends to improve the parallel efficiency of our applications and helps reduce complexities usually associated with concurrency

HPX version 0.9.99 released -- STE||AR Group

By Hartmut Kaiser | Jul 18, 2016 05:28 AM | Tags: performance parallelsim heterogeneous computing distributed computing c++17 c++14 c++11

The STE||AR Group has released V0.9.99 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.99 Released

The newest version of HPX (V0.9.99) is now available for download! Please see here for the release notes.

HPX exposes an API fully conforming to the concurrency related parts of the C++11/C++14/C++17 standards, extended and applied to distributed and heterogeneous computing, and aligned with the ongoing standardization discussions.

From the announcement:

• Version 1.0 approaches! This release is significant as HPX is nearly feature complete. Over the next several months we will continue to test and polish HPX’s API and documentation. The feedback and experience gained from the community’s utilization of this release will provide guidance on where to add the finishing touches for V1.0.
• We have put a lot of effort into improving the overall performance and stability of the library. Applications written using HPX have shown to outperform equivalent applications which are based on more conventional parallelization methods.
• In this release we finished the implementation of transparent migration of components to another locality (e.g. physical compute-node). It is now possible to trigger a migration operation without ‘stopping the world’ for the object to migrate. HPX will make sure that no work is being executed on the object while it is moved and that all subsequently scheduled work for the migrated object will be transparently forwarded to the new locality. The global address of the migrated object does not change, thus the application will not have to be changed in any way to support this new functionality.