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Parallelising wavefront applications on general-purpose GPU devices

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Pennycook, Simon J., Mudalige, Gihan R., Hammond, Simon D. and Jarvis, Stephen A., 1970- (2010) Parallelising wavefront applications on general-purpose GPU devices. In: 26th UK Performance Engineering Workshop (UKPEW10), University of Warwick, Coventry, UK, 8-9, July 2010. Published in: Proceedings of the 26th UK Performance Engineering Workshop (UKPEW 2010) pp. 111-118.

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Official URL: http://aesop.doc.ic.ac.uk/conferences/ukpew/2010

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 Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: Proceedings of the 26th UK Performance Engineering Workshop (UKPEW 2010)
Publisher: Performance Computing and Visualisation, Department of Computer Science, University of Warwick
ISBN: 9780955970320
Date: July 2010
Page Range: pp. 111-118
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 26th UK Performance Engineering Workshop (UKPEW10)
Type of Event: Workshop
Location of Event: University of Warwick, Coventry, UK
Date(s) of Event: 8-9, July 2010
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  • Other Repository
URI: http://wrap.warwick.ac.uk/id/eprint/47468

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