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LLVM Based Parallelization of C Programs for GPU

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Supercomputing (RuSCDays 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1331))

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Abstract

The paper proposes an approach to semi-automatic program parallelization in SAPFOR (System FOR Automated Parallelization). SAPFOR proposes opportunities to perform user-guided source-to-source program transformations and to reveal implicit parallelism in sequential programs. The LLVM compiler infrastructure is used to examine a program and Clang is used to perform source-to-source program transformation. This paper highlights benefits of IR-level (Intermediate Representation) program analysis which allows us to apply low-level program transformations to investigate properties of the original program. To exploit program parallelism SAPFOR relies on DVMH which is a directive-based programming model. We use subset of C-DVMH language which allows us to run parallel program on GPU as well on multiprocessors. Evaluation of presented approach has been performed using the C version of the NAS Parallel Benchmarks.

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Authors and Affiliations

  1. Keldysh Institute of Applied Mathematics RAS, Moscow, Russia

    Nikita Kataev

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  1. Nikita Kataev
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Correspondence to Nikita Kataev .

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Editors and Affiliations

  1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Sergey Sobolev

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Kataev, N. (2020). LLVM Based Parallelization of C Programs for GPU. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2020. Communications in Computer and Information Science, vol 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-64616-5_38

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  • DOI: https://doi.org/10.1007/978-3-030-64616-5_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64615-8

  • Online ISBN: 978-3-030-64616-5

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