distributed computing

HPX version 1.0 released—STE||AR Group

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

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.

 

HPX version 0.9.11 released—STE||AR Group

The STE||AR Group has released V0.9.11 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.11 Released

The newest version of HPX (V0.9.11) 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 and C++14 standards, extended and applied to distributed computing.

From the announcement:

  • 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++ Standard or with the ongoing standardization work. Other major features include the introduction of executors and various policies which enable customizing the ‘where’ and ‘when’ of task and data placement.
  • This release consolidates many of the APIs exposed by HPX. We introduced a new uniform way of creating (local and remote) objects, we added distribution policies allowing to manage and customize data placement and migration, we unified the way various types of parallelism are made available to the user.

HPX version 0.9.9 released—STE||AR Group

The STE||AR Group has released V0.9.9 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.9 Released

The newest version of HPX (V0.9.9) is now available for download! Please see here for the release notes.

HPX now exposes an API fully conforming to the concurrency related parts of the C++11 and C++14 standards, extended and applied to distributed computing.

From the announcement:

  • We completed the refactoring of hpx::future to be properly C++11 standards conforming.
  • We overhauled our build system to support newer CMake features to make it more robust and more portable.
  • We implemented a large part of the parallel algorithms and other parallel facilities proposed by C++ Technical Specifications N4104, N4088, and N4107.
  • We added many examples such as the 1D Stencil and the Matrix Transpose series.
  • We significantly improved the performance of the library and the existing documentation

HPX version 0.9.8 released—STE||AR Group

The STE||AR Group has released V0.9.8 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.8 Released

The newest version of HPX (V0.9.8) is now available for download! Please see here for the release notes.

HPX now exposes an API fully conforming to the concurrency related parts of the C++11 and the draft C++14 standards, extended and applied to distributed computing.

From the announcement:

  • A large part of the code base of HPX has been refactored and partially re-implemented: the threading and networking subsystems have been improved in performance, modularity, and robustness, the API was improved for closer conformance to the concurrency related parts of the C++11 and C++14 draft standards and the upcomming Concurrency TS.
  • We added new API functionality like hpx::migrate and hpx::copy_component which are the basic building blocks necessary for implementing higher level abstractions for system-wide load balancing, runtime-adaptive resource management, and object-oriented check-pointing and state-management.
  • We improved the distributed reference counting scheme used by HPX which helps managing distributed objects and memory.

HPX version 0.9.7 released—STE||AR Group, LSU

The STE||AR Group at Loisiana State University has released V0.9.7 of HPX -- A general purpose parallel C++ runtime system for applications of any scale.

HPX V0.9.7 Released

The newest version of HPX (V0.9.7) is now available for download! Over the past few months...

From the announcement:

  • Ported HPX to BlueGene/Q
  • Improved HPX support for Intel Xeon Phi® accelerators.
  • Reimplemented hpx::bind, hpx::tuple, and hpx::function for better performance and better compliance with the C++11 Standard. Added hpx::mem_fn.
  • Reworked hpx::when_all and hpx::when_any for better C++ compliance. Added hpx::when_any_swapped.
  • Added hpx::copy as a precursor for a migrate functionality, added hpx::get_ptr allowing to directly access the memory underlying a given component.
  • Added the hpx::lcos::broadcast, hpx::lcos::reduce, and hpx::lcos::fold collective operations.
  • Added support for more flexible thread affinity control from the HPX command line, such as new modes (balanced, scattered, compact), improved default settings when running multiple localities on the same node.
  • Added experimental executors for simpler thread pooling and scheduling. This API may change in the future as it will stay aligned with the ongoing C++ standardization efforts.
  • Massively improved the performance of the HPX serialization code. Added partial support for zero copy serialization of array and bitwise-copyable types.
  • General performance improvements of the code related to threads and futures.