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
Link To Document :
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