HPXPI V0.1.0 Release Candidate 1 Available!

The release candidate 1 of 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.

For this release we focused on providing an early implementation which would include almost all of the API functions as mandated by the XPI specification. Our future work will be focused on implementing the functions related to processes which will require some work in HPX to implement. Please check out the source code, build the library, and try out the tests.

You can download the release here, or get HPXPI 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.

Where to download

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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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