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from Wikipedia
| HPX | |
|---|---|
| Developers | The STEllAR Group, archived from the original on 2019-04-03, retrieved 2019-04-03 LSU Center for Computation and Technology |
| Initial release | 2008 |
| Stable release | 1.10.0
/ May 29, 2024 |
| Repository | github |
| Written in | C++ |
| Operating system | Microsoft Windows Linux Mac OS X |
| Type | Partitioned global address space Parallel programming Runtime System |
| License | Boost Software License[1] |
| Website | hpx |
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.
Applications
[edit]Though designed as a general-purpose environment for high-performance computing, HPX has primarily been used in
- Astrophysics simulation, including the N-body problem,[6] neutron star evolution,[7] and the merging of stars[8]
- LibGeoDecomp,[11][12][13] A Library for Geometric Decomposition codes
- Simulation crack and fractures utilizing Peridynamics[14]
- Phylanx,[15][16][17][5] A Library for Distributed Array Processing
References
[edit]- ^ "License", Boost Software License – Version 1.0, boost.org, retrieved 2012-07-30
- ^ "About the STE||AR Group". Retrieved 17 April 2019.
- ^ 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.
- ^ 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.
- ^ a b 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.
- ^ Dekate, Chirag; Anderson, Matthew; Brodowicz, Maciej; Kaiser, Hartmut; Adelstein-Lelbach, Bryce; Sterling, Thomas (2012). "Improving the Scalability of Parallel N-body Applications with an Event-driven Constraint-based Execution Model". International Journal of High Performance Computing Applications. 26 (3): 319–332. arXiv:1109.5190. doi:10.1177/1094342012440585. S2CID 9556798.
- ^ Anderson, Matthew; Sterling, Thomas; Kaiser, Hartmut; Neilsen, David (2012-04-01). "Neutron Star Evolutions using Tabulated Equations of State with a New Execution Model" (PDF). American Physical Society April 2012 Meeting. Archived from the original (PDF) on 2021-12-02.
- ^ Pfander, David; Daiß, Gregor; Marcello, Dominic; Kaiser, Hartmut; Pflüger, Dirk (2018). "Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX". Proceedings of the International Workshop on OpenCL. pp. 1–8. doi:10.1145/3204919.3204938. ISBN 978-1-4503-6439-3. S2CID 21126354.
- ^ Marcello, Dominic; Daiß, Gregor; Amini, Parsa; Kaiser, Hartmut; Diehl, Patrick; Adelstein Lelbach, Bryce; Heller, Thomas; Shiber, Sagiv; Huck, Kevin; Biddiscombe, John; Schäfer, Andreas (2019-04-17), STEllAR-GROUP/octotiger Repository on GitHub, The STE||AR Group, doi:10.5281/zenodo.5093174, retrieved 2019-04-17
- ^ Heller, Thomas; Lelbach, Bryce Adelstein; Huck, Kevin A; Biddiscombe, John; Grubel, Patricia; Koniges, Alice E; Kretz, Matthias; Marcello, Dominic; Pfander, David (2019-02-14). "Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars". The International Journal of High Performance Computing Applications. 33 (4): 699–715. doi:10.1177/1094342018819744. ISSN 1094-3420. OSTI 1524389.
- ^ "LibGeoDecomp – Petascale Computer Simulations". www.libgeodecomp.org. Archived from the original on 2022-06-25. Retrieved 2019-04-17.
- ^ A library for C++/Fortran computer simulations (e.g. stencil codes, mesh-free, unstructured grids, n-body & particle methods). Scales from smartphones to petascale supercomputers (e.g. Titan, T.., The STE||AR Group, 2019-04-06, retrieved 2019-04-17
- ^ Schäfer, Andreas; Fey, Dietmar (2008). "LibGeoDecomp: A Grid-Enabled Library for Geometric Decomposition Codes". Recent Advances in Parallel Virtual Machine and Message Passing Interface. Lecture Notes in Computer Science. Vol. 5205. pp. 285–294. doi:10.1007/978-3-540-87475-1_39. ISBN 978-3-540-87474-4.
- ^ Diehl, Patrick; Jha, Prashant K.; Kaiser, Hartmut; Lipton, Robert; Levesque, Martin (2020). "An asynchronous and task-based implementation of peridynamics utilizing HPX—the C++ standard library for parallelism and concurrency". SN Applied Sciences. 2 (12) 2144. arXiv:1806.06917. doi:10.1007/s42452-020-03784-x. S2CID 227240479.
- ^ "Phylanx – A Distributed Array Toolkit". Retrieved 2019-04-17.
- ^ An Asynchronous Distributed C++ Array Processing Toolkit: STEllAR-GROUP/phylanx, The STE||AR Group, 2019-04-16, retrieved 2019-04-17
- ^ Tohid, R.; Wagle, Bibek; Shirzad, Shahrzad; Diehl, Patrick; Serio, Adrian; Kheirkhahan, Alireza; Amini, Parsa; Williams, Katy; Isaacs, Kate; Huck, Kevin; Brandt, Steven; Kaiser, Hartmut (2018). "Asynchronous Execution of Python Code on Task-Based Runtime Systems". 2018 IEEE/ACM 4th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2). pp. 37–45. arXiv:1810.07591. doi:10.1109/ESPM2.2018.00009. ISBN 978-1-72810-178-1. S2CID 52988499.
External links
[edit]- HPX/STE||AR Group Homepage Archived 2019-04-03 at the Wayback Machine
- Latest HPX Documentation
- HPX GitHub repository
- STE||AR Group Blog
- STE||AR Group Publications
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