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Title: Analysis of OpenACC Performance using Different Block Geometries
Authors: Barba, Daniel
Gonzalez-Escribano, Arturo
Llanos, Diego R.
Conference: CMMSE 2017 Proceedings (Computational and Mathematical Methods in Science and Engineering)
Issue Date: 2017
Publisher: Universidad de Salamanca
Description: Producción Científica
Citation: CMMSE 2017 Proceedings (Computational and Mathematical Methods in Science and Engineering), Rota, Spain, july 2017
Abstract: OpenACC is a parallel programming model for automatic parallelization of sequential code using compiler directives or pragmas. OpenACC is intended to be used with accelerators such as GPUs and Xeon Phi. The different implementations of the standard, although still in early development, are primarily focused on GPU execution. In this study, we analyze how the different OpenACC compilers available under certain premises behave when the clauses affecting the underlying block geometry implementation are modified. These clauses are the Gang number, Worker number, and Vector Size defined by the standard.
Sponsor: This research has been partially supported by MICINN (Spain) and ERDF program of the European Union: HomProg-HetSys project (TIN2014-58876-P), CAPAP-H5 network (TIN2014-53522-REDT), and COST Program Action IC1305: Network for Sustainable Ul- trascale Computing (NESUS).
Language: eng
Rights: info:eu-repo/semantics/openAccess
Appears in Collections:DEP41 - Comunicaciones a congresos, conferencias, etc.

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