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.
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After nine years of development HPX version 1.0.0 is being prepared to ship! The STE||AR Group is exited to share this news, and therefore, has prepared a release Continue reading
This summer the STE||AR Group was proud to mentor four students through Google’s Summer of Code program. These students worked on a variety of projects which helped improve our software, HPX. This Library is a distributed C++ runtime system which Continue reading
Gauging the interest in an open source project is often very difficult. People can be downloading and using your software without any developers being aware. Additionally, many projects may not have users in a direct sense but do provide other library and application Continue reading
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
When people struggle with HPX, we often find that their confusion and frustration is rooted in a lack of understanding of modern C++. In order to address this issue, the STE||AR Group is hosting a 2016 C++ summer lecture series. These sessions will Continue reading
We can now announce the participants in the STE||AR Group’s 2016 Google Summer of Code! We are very proud to announce the names of those 6 students who this year will be funded by Google to work on projects for our group.
These recipients represent only a handful of the many excellent proposals that we had to choose from. For those unfamiliar with the program, the Google Summer of Code brings together ambitious students from around the world with open source developers by giving each mentoring organization funds to hire a set number of participants. Students then write proposals, which they submit to a mentoring organization, in hopes of having their work funded. Continue reading
The STE||AR Group is honored to have been selected as one of the 2016 Google Summer of Code (GSoC) mentor organizations! This program, which pays students over the summer to work on open source projects, has been a wonderful experience for Continue reading
A core belief of the STE||AR Group is that, in order to be successful in our efforts to revolutionize computing, we must garner the support and enthusiasm of the broader community. We were pleased to learn that a software engineer in Germany, Harris Brakmic, wrote a great blog post about witting applications in HPX. One section of his post that we were very excited about was his conclusion: Continue reading
As HPC shifts its long range focus from peta- to exascale, the need for programmers to be able to efficiently utilize the entirety of a machine’s compute resources has become more paramount. This has grown increasingly difficult as most of the Top500 machines utilize, in some capacity, hardware accelerators like GPUs and coprocessors which often require special languages and APIs to take advantage of them. In C++ the concept of executors, as currently discussed by the C++ standardization committee, has created a possibility for a flexible, and dynamic choice of the execution platform for various types of parallelism in C++, including the execution of user code on heterogeneous resources like accelerators and GPUs in a portable way. This will also allow to develop a solution that seamlessly integrates iterative execution (parallel algorithms) with other types of parallelism, such as task-based parallelism, asynchronous execution flows, continuation style computation, and explicit fork-join control flow of independent and non-homogeneous code paths. Continue reading