DocumentCode
3011137
Title
An FPGA-based acceleration platform for auction algorithm
Author
Zhu, Pengfei ; Zhang, Chun ; Li, Hua ; Cheung, Ray C.C. ; Hu, Bryan
Author_Institution
Department of Electrical and Computer Engineering, University of Alberta, Canada
fYear
2012
fDate
20-23 May 2012
Firstpage
1002
Lastpage
1005
Abstract
Auction algorithms have been applied in various linear network problems, such as assignment, transportation, max-flow and shortest path problem. The inherent parallel characteristics of these algorithms are well suited for FPGA hardware implementation. In this paper, we focus on the acceleration of auction algorithm to solve assignment problem. The main contribution is to set up a flexible platform to generate efficient and extendable application-based hardware acceleration. It aims at solving both symmetric and asymmetric assignment problem. Experimental results show that 10X speedup can be achieved using 128 Processing Elements for the problem size of 500.
Keywords
Acceleration; Arrays; Field programmable gate arrays; Hardware; Jacobian matrices; Random access memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location
Seoul, Korea (South)
ISSN
0271-4302
Print_ISBN
978-1-4673-0218-0
Type
conf
DOI
10.1109/ISCAS.2012.6271395
Filename
6271395
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