Empirical Optimization of Collective Communications with ADCL

Katharina Benkert () and Edgar Gabriel ()
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Katharina Benkert: University of Stuttgart, High Performance Computing Center Stuttgart (HLRS)
Edgar Gabriel: University of Houston, Parallel Software Technologies Laboratory, Department of Computer Science

A chapter in High Performance Computing on Vector Systems 2010, 2010, pp 37-49 from Springer

Abstract: Abstract The Abstract Data and Communication Library (ADCL) allows for auto-tuning of communication operations for parallel applications. This paper presents a new set of interfaces introduced in ADCL in order to support most MPI collective communication operations, and thus enable the optimization of one of the most widely used features of the MPI specification. The paper discusses semantic as well as implementation aspects, and evaluates the new interfaces using the NPB FT benchmark on a large selection of platforms and MPI libraries.

Keywords: Communication Pattern; High Performance Computing; Vector Object; Collective Communication; Communication Operation (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11851-7_3

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DOI: 10.1007/978-3-642-11851-7_3

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