DocumentCode
1808723
Title
Allocating Tasks in Multi-core Processor based Parallel System
Author
Liu, Yi ; Zhang, Xin ; Li, He ; Qian, Depei
Author_Institution
Beihang Univ., Beijing
fYear
2007
fDate
18-21 Sept. 2007
Firstpage
748
Lastpage
753
Abstract
After a discussion of the task allocation problem in multi-core processor based parallel system, this paper gives the task allocation model, and proposes an iteration-based heuristic algorithm, which is composed of two rounds of operations, in which the processes are assigned to processing nodes in the first round and threads in process are assigned to processor cores in the second round respectively. Each round of operation partitions the task interaction graph by iterations with backtracking. Evaluation result shows that the algorithm can find near-optimal solutions in reasonable time, and behaves better than genetic algorithm when the number of threads increases, since it can find solutions in much less time than genetic algorithm.
Keywords
backtracking; graph theory; iterative methods; multi-threading; parallel algorithms; resource allocation; genetic algorithm; iteration-based heuristic algorithm; multicore processor; parallel systems; task allocation problem; task interaction graph; Computer networks; Concurrent computing; Genetic algorithms; Helium; Heuristic algorithms; Multicore processing; Multiprocessor interconnection networks; Parallel processing; Partitioning algorithms; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Network and Parallel Computing Workshops, 2007. NPC Workshops. IFIP International Conference on
Conference_Location
Liaoning
Print_ISBN
978-0-7695-2943-1
Type
conf
DOI
10.1109/NPC.2007.26
Filename
4351575
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