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Impact of Asynchronism on GPU Accelerated Parallel Iterative Computations

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Applied Parallel and Scientific Computing (PARA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7133))

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Abstract

We study the impact of asynchronism on parallel iterative algorithms in the particular context of local clusters of workstations including GPUs. The application test is a classical PDE problem of advection-diffusion-reaction in 3D. We propose an asynchronous version of a previously developed PDE solver using GPUs for the inner computations. The algorithm is tested with two kinds of clusters, a homogeneous one and a heterogeneous one (with different CPUs and GPUs).

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Kristján Jónasson

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Contassot-Vivier, S., Jost, T., Vialle, S. (2012). Impact of Asynchronism on GPU Accelerated Parallel Iterative Computations. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28151-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-28151-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28150-1

  • Online ISBN: 978-3-642-28151-8

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