NDLI: Expressing Parallelism on Many-Core for Deterministic Discrete Ordinates Transport

Content Provider	IEEE Xplore Digital Library
Author	Deakin, T. McIntosh-Smith, S. Gaudin, W.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Bristol, Bristol, UK (Deakin, T.; McIntosh-Smith, S.) \|\| High Performance Comput., UK Atomic Weapons Establ., Aldermaston, UK (Gaudin, W.)
Abstract	In this paper we demonstrate techniques for increasing the node-level parallelism of a deterministic discrete ordinates neutral particle transport algorithm on a structured mesh to exploit many-core technologies. Transport calculations form a large part of the computational workload of physical simulations and so good performance is vital for the simulations to complete in reasonable time. We will demonstrate our approach utilizing the SNAP mini-app, which gives a simplified implementation of the full transport algorithm but remains similar enough to the real algorithm to act as a useful proxy for research purposes. We present an OpenCL implementation of our improved algorithm which demonstrates a speedup of up to 2.5x the transport sweep performance on a many-core GPGPU device compared to a state-of-the-art multi-core node, the first time this scale of speedup has been achieved for algorithms of this class.
Starting Page	729
Ending Page	737
File Size	282692
Page Count	9
File Format	PDF
ISBN	9781467365987
DOI	10.1109/CLUSTER.2015.127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parallel processing Performance evaluation Scattering Kernel Graphics processing units Tin Computer architecture SNAP discrete ordinates transport sweep many-core OpenCL mini-app
Content Type	Text
Resource Type	Article

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