CppChat: On Air with HPX

This past week members of the HPX team were invited to give a talk on Jon Kalb’s weekly CppChat. Bryce Adelstein-Lelbach, Hartmut Kaiser, Thomas Heller, and John Biddiscombe were invited onto the show to talk about HPX, our programming model, Continue reading

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HPX V1.0 Released!

The STE||AR Group is proud to announce the release of HPX V1.0. While we call it version one, it is in fact the fifteenth official release of our library. This release has become possible as we now have implemented all the features we set out to put in place for this version.

HPX is the C++ Standard library for parallelism and concurrency.  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, in HPX we implement 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. We also extend the existing C++ Standard APIs to the distributed case (e.g. compute clusters) and for heterogeneous systems (e.g. GPUs).

At its heart, HPX is an asynchronous many-task runtime system for the distributed world. It is portable in code and performance across a wide variety of architectures and operating systems. We have shown that it is usable on almost any machine from a Raspberry Pi to the biggest computers available to us. Applications relying on HPX will scale from small handheld devices up to machines with thousands of compute-nodes and millions of processors. For example, we have just successfully run an HPX application on the full NERSC’s Cori machine, a cluster with 9640 Intel Knight’s Landing compute nodes (655520 cores).

The new C++ Standard facilities listed mend themselves perfectly with some of our extensions targeting asynchronous operation, such as asynchronous parallel algorithms, asynchronous task blocks, or dataflow constructs. As a result, HPX changes the way we write programs in modern C++. It 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 concurrency. At the same time, HPX’s API is strictly aligned with the C++ standardization process which removes the barriers of adoption.

The code base of HPX is very mature and of very high code quality. Our extensive testing has definitely paid off. Many people have contributed to this release — we would like to thank all of them for their efforts. This release incorporates nearly 1500 commits and has closed almost 300 tickets and pull requests submitted by collaborators from all over the world. We have introduced several important changes:

  • We added various new higher-level parallelization facilities, such as more parallel algorithms, range based parallel algorithms, and channels — all well aligned with various C++ standardization documents.
  • We now support transparently migrating objects across compute-node boundaries, which is a major feature supporting dynamic load balancing in large distributed applications.
  • We have refactored our thread-scheduling subsystem for improved performance and less overheads.
  • We have added a new network transport module enabling direct support for Infiniband networks.
  • We have added a long list of new performance counters exposing different runtime parameters.
  • We have improved the integration with external diagnostic tools, such as APEX and Intel Amplifier or Intel Inspector.

How to Download:

For a complete list of new features and breaking changes please see our release notes. If you have any questions, comments, or exploits to report you can comment below, reach us on IRC (#stellar on Freenode), or email us at hpx-users@stellar.cct.lsu.edu. We value your input!

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HPX V0.9.99 Released!

Version 1.0 approaches! The STE||AR Group is proud to announce the release of HPX v0.9.99. This release is significant as HPX is nearly feature complete. Over the next several months the STE||AR Group will continue to test and polish HPX’s API and documentation. The feedback and experience gained from the community’s utilization this release will provide guidance on where to add the finishing touches for v1.0. Continue reading

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HPX V0.9.11 Available!

The STE||AR Group is proud to announce the release of HPX v0.9.11! In this release our team has focused on developing higher level C++ programming interfaces which simplify the use of HPX in applications and ensure their portability in terms of code and performance. We paid particular attention to align all of these changes with the existing C++ Standards or with the ongoing standardization work. Other major features include the introduction of executors and various policies which enable to customize the ‘where’ and ‘when’ of task and data placement. Continue reading

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HPX V0.9.10 Available!

The STE||AR Group is proud to announce the release of HPX v0.9.10! In this release our team has focused on making large scale runs simple and reliable. With these changes we have currently shown the ability to run HPX applications on up to 24,000 cores! Other major features include new parcel-port (network-layer) implementations, variadic template support, more parallel algorithms, and the first distributed data structure, hpx::vector. Continue reading

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HPX V0.9.9 Available!

The STE||AR Group is proud to announce the availability of HPX V0.9.9!  You can download the release version or checkout the latest version from Github. With 200 bug fixes and 1,500 commits, V0.9.9 introduces several improvements including:

  • Completing the refactoring of hpx::future to be properly C++11 standards conforming
  • Overhauling our build system to support newer CMake features to make it more robust and more portable
  • Implementing a large part of the parallel algorithms proposed by C++ Technical Specifications N4104, N4088, and N4107
  • Adding examples such as the 1D Stencil and the Matrix Transpose series
  • Significantly improved the documentation
  • Remodeling our testing infrastructure which will allow us to quickly discover, diagnose, and fix bugs that arise during development

For more details about these changes please see the release notes here. Continue reading

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HPX V0.9.8 Available!

The STE||AR Group is proud to announce a new formal release of HPX (V0.9.8) — a C++ runtime system for parallel and distributed applications of any scale. While this release is mainly based on contributions made by partners of the STE||AR Group from the Louisiana State University Baton Rouge (LA, USA) and the Friedrich-Alexander University Erlangen (Germany), it would not have been possible without the help of many people from all over the world. Thanks to everybody involved!

Please see here for the release notes.
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HPXPI V0.1.0 Available!

The first formal version of HPXPI (V0.1.0) is now available for download! Over the past few months the STE||AR Fellows at Louisiana State University, have been hard at work finalizing the first fully functional, open source implementation of the XPI specification. This release goes along with the next major release of the HPX runtime system (V0.9.8) which is used as the underlying implementation and which gives it a solid foundation ensuring high performance and wide portability. It is released as open source software under the Boost software license.
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