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ICCS
2007
Springer

Implementation of the Parallel Superposition in Bulk-Synchronous Parallel ML

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Implementation of the Parallel Superposition in Bulk-Synchronous Parallel ML
Abstract. Bulk-Synchronous Parallel ML (BSML) is a functional dataparallel language to code Bulk-Synchronous Parallel (BSP) algorithms. It allows an estimation of execution time, avoids deadlocks and nondeterminism. This paper presents the implementation of a new primitive for BSML which can express divide-and-conquer algorithms.
Frédéric Gava
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICCS
Authors Frédéric Gava
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