Imperial College London
Professor Wayne Luk

ProfessorWayneLuk

Faculty of Engineering, Department of Computing

Professor of Computer Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8313w.luk Website

 
 
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Location

 

434Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Targett:2016:10.1109/FPT.2015.7393152,
author = {Targett, JS and Niu, X and Russell, F and Luk, W and Jeffress, S and Duben, P},
doi = {10.1109/FPT.2015.7393152},
pages = {208--211},
publisher = {IEEE},
title = {Lower precision for higher accuracy: precision and resolution exploration for shallow water equations},
url = {http://dx.doi.org/10.1109/FPT.2015.7393152},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Accurate forecasts of future climate with numerical models of atmosphere and ocean are of vital importance. However, forecast quality is often limited by the available computational power. This paper investigates the acceleration of a C-grid shallow water model through the use of reduced precision targeting FPGA technology. Using a double-gyre scenario, we show that the mantissa length of variables can be reduced to 14 bits without affecting the accuracy beyond the error inherent in the model. Our reduced precision FPGA implementation runs 5.4 times faster than a double precision FPGA implementation, and 12 times faster than a multi-Threaded CPU implementation. Moreover, our reduced precision FPGA implementation uses 39 times less energy than the CPU implementation and can compute a 100×100 grid for the same energy that the CPU implementation would take for a 29×29 grid.
AU  - Targett,JS
AU  - Niu,X
AU  - Russell,F
AU  - Luk,W
AU  - Jeffress,S
AU  - Duben,P
DO  - 10.1109/FPT.2015.7393152
EP  - 211
PB  - IEEE
PY  - 2016///
SP  - 208
TI  - Lower precision for higher accuracy: precision and resolution exploration for shallow water equations
UR  - http://dx.doi.org/10.1109/FPT.2015.7393152
UR  - http://hdl.handle.net/10044/1/40163
ER  -
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