DocumentCode :
2047074
Title :
A stochastic multi-objective algorithm for the design of high performance reconfigurable architectures
Author :
Fung, Wing On ; Arslan, Tughrul
Author_Institution :
Sch. of Electron. & Eng., Edinburgh Univ.
fYear :
2006
fDate :
25-29 April 2006
Abstract :
The increasing demand for FPGAs and reconfigurable hardware targeting high performance low power applications has lead to an increasing requirement for new high performance reconfigurable embedded FPGA cores. This paper presents a multi-objective population based algorithm which given a library of basic blocks and a list of constraints, identifies an optimum reconfigurable embedded reconfigurable core suitable for the target application
Keywords :
field programmable gate arrays; logic design; optimisation; reconfigurable architectures; stochastic processes; embedded FPGA; high performance low power application; high performance reconfigurable architecture; multiobjective population based algorithm; reconfigurable hardware architecture; stochastic multiobjective algorithm; Algorithm design and analysis; Circuits; Delay; Field programmable gate arrays; Hardware; Reconfigurable architectures; Routing; Stochastic processes; Switches; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Conference_Location :
Rhodes Island
Print_ISBN :
1-4244-0054-6
Type :
conf
DOI :
10.1109/IPDPS.2006.1639479
Filename :
1639479
Link To Document :
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