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]
Developer(s) | The STEllAR Group LSU Center for Computation and Technology |
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Initial release | 2008 |
Stable release | 1.9.0
/ May 3, 2023 |
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 | stellar-group |
HPX is developed in idiomatic C++ and released as open source under the Boost Software License, which allows usage in commercial applications.
Though designed as a general-purpose environment for high-performance computing, HPX has primarily been used in
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