DocumentCode
2410725
Title
A Task-Mapping Algorithm for Performance Simulation Based on Simulated Annealing
Author
Guo, Xiaowei ; Lin, Yufei ; Xu, Xinhai ; Zhang, Xin
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
337
Lastpage
340
Abstract
Nowadays, the scale of parallel computer systems is increasing, and simulation technology has become an important tool for performance prediction in the system development process. Task mapping approach is an important aspect affecting the performance of simulation. In this paper, in order to solve the task mapping problem in performance simulation, a task mapping algorithm based on simulated annealing is proposed, and we verified the correctness and effectiveness of the algorithm by experiments. Experimental results show that the algorithm has high efficiency, and can solve the large-scale problem with lower time cost.
Keywords
Algorithm design and analysis; Analytical models; Approximation algorithms; Computational modeling; Load modeling; Simulated annealing; Performance Simulation; Simulated Annealing; Task Mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location
Chengdu, China
Print_ISBN
978-1-4577-1540-2
Type
conf
DOI
10.1109/ICCIS.2011.58
Filename
6086204
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