Parallel programming and performance predictability with Orléans Skeleton Library

Orleans Skeleton Library (OSL) is a library of parallel algorithmic skeletons in C++ on top of MPL It provides a structured approach towards parallel programming. Skeletons in OSL are based over the bulk synchronous parallelism model. Applications can be developed using different combinations and co...

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Vydáno v:	2011 International Conference on High Performance Computing and Simulation s. 257 - 263
Hlavní autoři:	Javed, Noman, Loulergue, Frederic
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.07.2011
Témata:	Algorithmic skeletons Arrays Bulk synchronous parallelism C++ parallel programming library Force Heating Libraries Parallel processing Program processors Skeleton
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Popis
Shrnutí:	Orleans Skeleton Library (OSL) is a library of parallel algorithmic skeletons in C++ on top of MPL It provides a structured approach towards parallel programming. Skeletons in OSL are based over the bulk synchronous parallelism model. Applications can be developed using different combinations and compositions of the skeletons. This paper illustrates the expressivity and performance predictability of OSL with two applications: a two dimensional heat diffusion simulation, and an exact N-body simulation. Experiments using these applications are performed on parallel machines.
DOI:	10.1109/HPCSim.2011.5999832