DocumentCode :
3242302
Title :
Intelligent Merging Online Task Placement Algorithm for Partial Reconfigurable Systems
Author :
Marconi, Thomas ; Lu, Yi ; Bertels, Koen ; Gaydadjiev, Georgi
Author_Institution :
Comput. Eng. Lab., Tech. Univ. Delft, Delft
fYear :
2008
fDate :
10-14 March 2008
Firstpage :
1346
Lastpage :
1351
Abstract :
Speed and placement quality are two very important attributes of a good online placement algorithm, because the time taken by the algorithm is considered as an overhead to the application overall execution time. To solve this problem, we propose three techniques: Merging Only if Needed (MON), Partial Merging (PM), and Direct Combine (DC). Our IM (intelligent merging) algorithm uses dynamically these three techniques to exploit their specific advantages. IM outperforms Bazargan´s algorithm as it has placement quality within 0.89% but is 1.72 times faster.
Keywords :
merging; reconfigurable architectures; direct combine; intelligent merging online task placement algorithm; merging only if needed; partial merging; partial reconfigurable systems; Application software; Communication channels; Delay; Field programmable gate arrays; Heuristic algorithms; Laboratories; Merging; Monitoring; Partitioning algorithms; Proposals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation and Test in Europe, 2008. DATE '08
Conference_Location :
Munich
Print_ISBN :
978-3-9810801-3-1
Electronic_ISBN :
978-3-9810801-4-8
Type :
conf
DOI :
10.1109/DATE.2008.4484866
Filename :
4484866
Link To Document :
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