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.

This release coincides with the 6th anniversary of the start of the HPX project. Happy birthday, HPX! It also happens right after the 10,000th commit to the HPX repository, with more than 2700 commits just during the last year. More than 60 people have contributed to HPX since the project started, more than 30 people contributed during the last 12 month alone. We are very proud of reaching this point which demonstrates our long term commitment to the project and the and high impact HPX has on the community.

Please check out the source code, build the library, and try the examples and tests and get back to use with any comments, problem reports (or praise) you might have.

You can also check out the documentation for more information about HPX.

You can download the release here, or get the release of HPX directly from GitHub. If you have suggestions, questions, or ideas we would love to hear from you. You can find us at our website, reach us at hpx-users@stellar.cct.lsu.edu, or chat with us live on IRC in the #ste||ar chat room on Freenode.

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About Hartmut Kaiser

Hartmut is an Adjunct Professor of Computer Science at Louisiana State University. At the same time, he holds the position of a senior scientist at the Center for Computation and Technology (LSU). He received his doctorate from the Technical University of Chemnitz (Germany) in 1988. He is probably best known through his involvement in open source software projects, mainly as the author of several C++ libraries he has contributed to Boost, which are in use by thousands of developers worldwide. His current research is focused on leading the STE||AR group at CCT working on the practical design and implementation of the ParalleX execution model and related programming methods. In addition, he architected and developed the core library modules of SAGA for C++, a Simple API for Grid Applications.

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