HPX explained

HPX
Developer:
LSU Center for Computation and Technology
Latest Release Version:1.10.0
Operating System:Microsoft Windows
Linux
Mac OS X
Genre:Partitioned global address space
Parallel programming
Runtime System
Programming Language:C++
License:Boost Software License

HPX, short for High Performance ParalleX, is a runtime system for high-performance computing. It is currently under active development by the STEAR group[1] 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.[2] [3] [4]

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

Applications

Though designed as a general-purpose environment for high-performance computing, HPX has primarily been used in

External links

Notes and References

  1. Web site: About the STEAR Group. 17 April 2019.
  2. Book: Kaiser. Hartmut. Brodowicz. Maciek. Sterling. Thomas. 2009 . 10.1109/icppw.2009.14 . 978-1-4244-4923-1. ParalleX an Advanced Parallel Execution Model for Scaling-Impaired Applications. 2009 International Conference on Parallel Processing Workshops. 394–401. 898158.
  3. Book: Wagle. Bibek. Kellar. Samuel. Serio. Adrian. Kaiser. Hartmut. 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Methodology for Adaptive Active Message Coalescing in Task Based Runtime Systems. 2018. 1133–1140. 10.1109/IPDPSW.2018.00173. 978-1-5386-5555-9. 51921994.
  4. Book: Wagle. Bibek. Monil. Mohammad Alaul Haque. Huck. Kevin. Malony. Allen D.. Serio. Adrian. Kaiser. Hartmut. Proceedings of the 48th International Conference on Parallel Processing. Runtime Adaptive Task Inlining on Asynchronous Multitasking Runtime Systems. 2019. 1–10. 10.1145/3337821.3337915. 9781450362955. 198963569.
  5. C. Dekate, M. Anderson, M. Brodowicz, H. Kaiser, B. Adelstein-Lelbach and T. Sterling. 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. 2012. 1109.5190. 10.1177/1094342012440585. 9556798.
  6. Web site: M. Anderson, T. Sterling, H. Kaiser and D. Neilsen. Neutron Star Evolutions using Tabulated Equations of State with a New Execution Model. American Physical Society April 2012 Meeting. 2011.
  7. D. Pfander, G. Daiß, D. Marcello, H. Kaiser, D. Pflüger . David . Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX . DHPCC++ Conference 2018 Hosted by IWOCL . 2018 . 10.1145/3204919.3204938. 21126354 .
  8. 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. en. 699–715. 10.1177/1094342018819744. 1524389. 1094-3420. free.
  9. Web site: LibGeoDecomp – Petascale Computer Simulations. www.libgeodecomp.org. 2019-04-17. 2022-06-25. https://web.archive.org/web/20220625193837/https://libgeodecomp.org/. dead.
  10. Book: A. Schäfer, D. Fey . Recent Advances in Parallel Virtual Machine and Message Passing Interface . LibGeoDecomp: A Grid-Enabled Library for Geometric Decomposition Codes . 5205 . 285–294 . 2008 . 10.1007/978-3-540-87475-1_39 . Lecture Notes in Computer Science . 978-3-540-87474-4 .
  11. Diehl. Patrick. Jha. Prashant K.. Kaiser. Hartmut. Lipton. Robert. Levesque. Martin. An asynchronous and task-based implementation of peridynamics utilizing HPX—the C++ standard library for parallelism and concurrency. SN Applied Sciences. 2020. 2. 12. 10.1007/s42452-020-03784-x. free. 1806.06917. 227240479.
  12. Web site: Phylanx – A Distributed Array Toolkit. en-US. 2019-04-17.
  13. Book: 10.1109/ESPM2.2018.00009. 978-1-72810-178-1. 1810.07591. Asynchronous Execution of Python Code on Task-Based Runtime Systems. 2018 IEEE/ACM 4th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2). 37–45. 2018. Tohid. R.. Wagle. Bibek. Shirzad. Shahrzad. Diehl. Patrick. Serio. Adrian. Kheirkhahan. Alireza. Amini. Parsa. Williams. Katy. Isaacs. Kate. Huck. Kevin. Brandt. Steven. Kaiser. Hartmut. 52988499.

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