PaSTeL : Parallel Runtime and Algorithms for Small Datasets

Brice Videau 1 Erik Saule 1 Jean-François Méhaut 2
2 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this document, we put forward PaSTeL, an engine dedicated to parallel algorithms. PaSTeL offers both a programming model, to build parallel algorithms and an execution model based on work-stealing. Special care has been taken on using optimized thread activation and synchronization mechanisms. In order to illustrate the use of PaSTeL a subset of the STL's algorithms was implemented, which were also used on performance experiments. PaSTeL's performance is evaluated on a laptop computer using two cores, but also on a 16 cores platform. PaSTeL shows better performance than other implementations of the STL, especially on small datasets.
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https://hal.inria.fr/inria-00322158
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Submitted on : Wednesday, September 17, 2008 - 3:08:38 PM
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Brice Videau, Erik Saule, Jean-François Méhaut. PaSTeL : Parallel Runtime and Algorithms for Small Datasets. [Research Report] RR-6650, INRIA. 2008, pp.20. ⟨inria-00322158v2⟩

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