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

@article{Osborne:2011:10.1007/978-3-642-24568-8_18,
author = {Osborne, WG and Luk, W and Coutinho, JGF and Mencer, O},
doi = {10.1007/978-3-642-24568-8_18},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
pages = {354--369},
title = {Energy reduction by systematic run-time reconfigurable hardware deactivation},
url = {http://dx.doi.org/10.1007/978-3-642-24568-8_18},
volume = {6760 LNCS},
year = {2011}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - © 2011, Springer-Verlag Berlin Heidelberg. This paper describes a method of developing energy-efficient run-time reconfigurable hardware designs. The key idea is to systematically deactivate part of the hardware using word-length optimisation techniques, and then select the most optimal reconfiguration strategy: multiple bitstream reconfiguration or component multiplexing. When multiplexing between different parts of the circuit, it may not always be possible to gate the clock to the unwanted components in FPGAs. Different methods of achieving the same effect while minimising the area used for the control logic are investigated. A model is used to determine the conditions under which reconfiguring the bitstream is more energy-efficient than multiplexing part of the design, based on power measurements taken on 130nm and 90nm devices. Various case studies, such as ray tracing, B–Splines, vector multiplication and inner product are used to illustrate this approach.
AU  - Osborne,WG
AU  - Luk,W
AU  - Coutinho,JGF
AU  - Mencer,O
DO  - 10.1007/978-3-642-24568-8_18
EP  - 369
PY  - 2011///
SN  - 0302-9743
SP  - 354
TI  - Energy reduction by systematic run-time reconfigurable hardware deactivation
T2  - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
UR  - http://dx.doi.org/10.1007/978-3-642-24568-8_18
VL  - 6760 LNCS
ER  -
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