Parallelising Wavefront Applications on General-Purpose GPU Devices

Pennycook, S.J., Mudalige, G.R., Hammond, S.D. and Jarvis, S.A. (2010) Parallelising Wavefront Applications on General-Purpose GPU Devices. In: 26th UK Performance Engineering Workshop (UKPEW10), University of Warwick, Coventry, UK.

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    Abstract

    Pipelined wavefront applications form a large portion of the high performance scientific computing workloads at supercomputing centres. This paper investigates the viability of graphics processing units (GPUs) for the acceleration of these codes, using NVIDIA's Compute Unified Device Architecture (CUDA). We identify the optimisations suitable for this new architecture and quantify the characteristics of those wavefront codes that are likely to experience speedups.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: pcav hpsg gpu wavefront performance modelling demonstrator cuda
    Subjects: Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Science > Computer Science
    Depositing User: Simon Hammond
    Date Deposited: 11 Oct 2010 08:22
    Last Modified: 23 Feb 2012 09:07
    URI: http://eprints.dcs.warwick.ac.uk/id/eprint/53

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