Title :
Accelerating embedded applications using dynamically reconfigurable hardware and evolutionary algorithms
Author :
Harkin, J. ; McGinnity, T.M. ; Maguire, L.P.
Author_Institution :
Fac. of Eng., Ulster Univ., Derry, UK
Abstract :
The authors propose an evolutionary algorithm (EA) approach to hardware-software partitioning and performance estimation of dynamically reconfigurable embedded systems. A demonstrative application is used to show the effectiveness of the use of GAs to achieve hardware-software partitions with maximum speedup
Keywords :
embedded systems; evolutionary computation; field programmable gate arrays; hardware-software codesign; reconfigurable architectures; EA approach; GAs; demonstrative application; dynamically reconfigurable embedded systems; dynamically reconfigurable hardware; embedded application acceleration; evolutionary algorithms; hardware-software partitioning; hardware-software partitions; maximum speedup; performance estimation; Acceleration; Biological cells; Decoding; Embedded system; Evolutionary computation; Genetic algorithms; Hardware; Intelligent systems; Runtime; Systems engineering and theory;
Conference_Titel :
Field-Programmable Custom Computing Machines, 2000 IEEE Symposium on
Conference_Location :
Napa Valley, CA
Print_ISBN :
0-7695-0871-5
DOI :
10.1109/FPGA.2000.903436
