HPX

Not to be confused with Hemopexin, a glycoprotein encoded by the HPX gene.
HPX
Developer(s)The STEllAR Group, archived from the original on 2019-04-03, retrieved 2019-04-03
LSU Center for Computation and Technology
Initial release2008 (2008)
Stable release
1.10.0 / May 29, 2024; 5 months ago (2024-05-29)
Repositorygithub.com/STEllAR-GROUP/hpx
Written inC++
Operating systemMicrosoft Windows
Linux
Mac OS X
TypePartitioned global address space
Parallel programming
Runtime System
LicenseBoost Software License[1]
Websitehpx.stellar-group.org

HPX, short for High Performance ParalleX, is a runtime system for high-performance computing. It is currently under active development by the STE||AR group[2] at Louisiana State University. Focused on scientific computing, it provides an alternative execution model to conventional approaches such as MPI. HPX aims to overcome the challenges MPI faces with increasing large supercomputers by using asynchronous communication between nodes and lightweight control objects instead of global barriers, allowing application developers to exploit fine-grained parallelism.[3][4][5]

HPX is developed in idiomatic C++ and released as open source under the Boost Software License, which allows usage in commercial applications.

  1. ^ "License", Boost Software License – Version 1.0, boost.org, retrieved 2012-07-30
  2. ^ "About the STE||AR Group". Retrieved 17 April 2019.
  3. ^ Kaiser, Hartmut; Brodowicz, Maciek; Sterling, Thomas (2009). "ParalleX an Advanced Parallel Execution Model for Scaling-Impaired Applications". 2009 International Conference on Parallel Processing Workshops. pp. 394–401. doi:10.1109/icppw.2009.14. ISBN 978-1-4244-4923-1. S2CID 898158.
  4. ^ Wagle, Bibek; Kellar, Samuel; Serio, Adrian; Kaiser, Hartmut (2018). "Methodology for Adaptive Active Message Coalescing in Task Based Runtime Systems". 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). pp. 1133–1140. doi:10.1109/IPDPSW.2018.00173. ISBN 978-1-5386-5555-9. S2CID 51921994.
  5. ^ Wagle, Bibek; Monil, Mohammad Alaul Haque; Huck, Kevin; Malony, Allen D.; Serio, Adrian; Kaiser, Hartmut (2019). "Runtime Adaptive Task Inlining on Asynchronous Multitasking Runtime Systems". Proceedings of the 48th International Conference on Parallel Processing. pp. 1–10. doi:10.1145/3337821.3337915. ISBN 9781450362955. S2CID 198963569.