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Reports (Research Report) Year : 2008

PaSTeL : Parallel Runtime and Algorithms for Small Datasets

Brice Videau
Erik Saule
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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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Dates and versions

inria-00322158 , version 1 (16-09-2008)
inria-00322158 , version 2 (17-09-2008)

Identifiers

  • HAL Id : inria-00322158 , version 2

Cite

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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