DocumentCode
951613
Title
Design and implementation of a high-speed matrix multiplier based on word-width decomposition
Author
Hong, Sangjin ; Park, Kyoung-Su ; Mun, Jun-Hee
Author_Institution
Dept. of Electr. & Comput. Eng, State Univ. of New York, Stony Brook, NY, USA
Volume
14
Issue
4
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
380
Lastpage
392
Abstract
This paper presents a flexible 2/spl times/2 matrix multiplier architecture. The architecture is based on word-width decomposition for flexible but high-speed operation. The elements in the matrices are successively decomposed so that a set of small multipliers and simple adders are used to generate partial results, which are combined to generate the final results. An energy reduction mechanism is incorporated in the architecture to minimize the power dissipation due to unnecessary switching of logic. Two types of decomposition schemes are discussed, which support 2´s complement inputs, and its overall functionality is verified and designed with a field-programmable gate array (FPGA). The architecture can be easily extended to a reconfigurable matrix multiplier. We provide results on performance of the proposed architecture from FPGA post-synthesis results. We summarize design factors influencing the overall execution speed and complexity.
Keywords
adders; field programmable gate arrays; high-speed integrated circuits; logic design; matrix multiplication; multiplying circuits; reconfigurable architectures; FPGA; adders; energy reduction mechanism; field-programmable gate array; high-speed matrix multiplier; reconfigurable architecture; reconfigurable matrix multiplier; word-width decomposition; Application software; Computer architecture; Energy efficiency; Field programmable gate arrays; Frequency; Hardware; Matrix decomposition; Power dissipation; Reconfigurable logic; Sparse matrices; Field-programmable gate array (FPGA) implementation; matrix multiplier; power reduction; reconfigurable architecture; word-width decomposition;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2006.874302
Filename
1637468
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