Parallel programming issues and what the compiler can do to help
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Tipus de documentText en actes de congrés
Data publicació2015-05-05
EditorBarcelona Supercomputing Center
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Twenty-first century parallel programming models are
becoming real complex due to the diversity of architectures they need
to target (Multi- and Many-cores, GPUs, FPGAs, etc.). What if we
could use one programming model to rule them all, one programming
model to find them, one programming model to bring them all and in
the darkness bind them, in the land of MareNostrum where the
Applications lie. OmpSs programming model is an attempt to do so,
by means of compiler directives.
Compilers are essential tools to exploit applications and the
architectures the run on. In this sense, compiler analysis and
optimization techniques have been widely studied, in order to
produce better performing and less consuming codes.
In this paper we present two uses of several analyses we have
implemented in the Mercurium[3] source-to-source compiler: a) the
first use is to help users with correctness hints regarding the usage of
the OpenMP and OmpSs tasks; b) the second use is to be able to
execute OpenMP in embedded systems, with very little memory,
thanks to calculating the Task Dependency Graph of the application
at compile time. We also present the next steps of our work: a)
extending range analysis for analyzing OpenMP and OmpSs
recursive applications, and b) modeling applications using OmpSs
and future OpenMP4.1 tasks priorities feature.
CitacióRoyuela, Sara; Martorell Bofill, Xavier. Parallel programming issues and what the compiler can do to help. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 112-113.
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