DocumentCode
1355302
Title
Technology Mapping and Clustering for FPGA Architectures With Dual Supply Voltages
Author
Chen, Deming ; Cong, Jason ; Dong, Chen ; He, Lei ; Li, Fei ; Peng, Chi-Chen
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Volume
29
Issue
11
fYear
2010
Firstpage
1709
Lastpage
1722
Abstract
This paper presents a technology mapping algorithm for field-programmable gate array architectures with dual supply voltages (Vdds) for power optimization. This is done with the guarantee that the mapping depth of the circuit will not increase compared to the circuit with a single Vdd. This paper also presents an enhanced clustering algorithm that considers dual supply voltages, honoring the dual-Vdd mapping solution. To carry out various comparisons, we first design a single-Vdd mapping algorithm, named SVmap-2, which achieves a 3.8% total power reduction (15.6% dynamic power reduction) over a previously published low-power mapping algorithm, Emap . We then show that our dual-Vdd mapping algorithm, named DVmap-2, can further improve total power savings by 12.8% over SVmap-2, with a 52.7% dynamic power reduction. Compared to the early single-Vdd version SVmap , DVmap-2 is 14.3% better for total power reduction. This is achieved through an ideal selection of the low-Vdd/high-Vdd ratio and the consideration of various voltage changing scenarios during the mapping process.
Keywords
field programmable gate arrays; pattern clustering; FPGA architectures; dual supply voltages; enhanced clustering algorithm; field-programmable gate array architectures; low-power mapping algorithm; power optimization; Converters; Delay; Field programmable gate arrays; Logic gates; Routing; Switches; Table lookup; Dual-supply voltages; field-programmable gate array (FPGA); power optimization; technology mapping;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/TCAD.2010.2061770
Filename
5605304
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