Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour

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Title: Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour
Authors: Russell, FP
Düben, PD
Niu, X
Luk, W
Palmer, TN
Item Type: Conference Paper
Abstract: © 2015 IEEE.The computationally intensive nature of atmospheric modelling is an ideal target for hardware acceleration. Performance of hardware designs can be improved through the use of reduced precision arithmetic, but maintaining appropriate accuracy is essential. We explore reduced precision optimisation for simulating chaotic systems, targeting atmospheric modelling in which even minor changes in arithmetic behaviour can have a significant impact on system behaviour. Hence, standard techniques for comparing numerical accuracy are inappropriate. We use the Hellinger distance to compare statistical behaviour between reduced-precision CPU implementations to guide FPGA designs of a chaotic system, and analyse accuracy, performance and power efficiency of the resulting implementations. Our results show that with only a limited loss in accuracy corresponding to less than 10% uncertainly in input parameters, a single Xilinx Virtex 6 SXT475 FPGA can be 13 times faster and 23 times more power efficient than a 6-core Intel Xeon X5650 processor.
Issue Date: 1-Jan-2015
Date of Acceptance: 29-Aug-2015
URI: http://hdl.handle.net/10044/1/25995
DOI: http://dx.doi.org/10.1109/FCCM.2015.52
ISBN: 978-1-4799-9969-9
Publisher: IEEE
Start Page: 171
End Page: 178
Journal / Book Title: 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines
Copyright Statement: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Conference Name: FCCM 2015
Start Date: 2015-05-02
Finish Date: 2015-05-06
Conference Place: Vancouver, Canada
Appears in Collections:Faculty of Engineering
Computing



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