NDLI: Optimization method for scheduling length and the number of processors on multiprocessor systems

Content Provider	IEEE Xplore Digital Library
Author	Youness, H. Hassan, M. Sakanushi, K. Takeuchi, Y. Imai, M. Salem, A. Wahdan, A.-M. Moness, M.
Copyright Year	2009
Description	Author affiliation: Department of Computers and Systems Engineering, Minia University, Egypt (Youness, H.; Moness, M.) \|\| Department of Information Systems Engineering, Osaka University, IST, Japan (Sakanushi, K.; Takeuchi, Y.; Imai, M.) \|\| Department of Computers and Systems Engineering, Ain Shams University, Cairo, Egypt (Salem, A.; Wahdan, A.-M.) \|\| Mentor Graphics, Cairo, Egypt (Hassan, M.)
Abstract	A high performance algorithm for scheduling of tasks aims to optimize the overall execution time of the program by properly allocating and arranging the execution order of the tasks on the multiprocessor systems such that the precedence constraints among the tasks are preserved. In this paper, we propose an algorithm to get the optimality of scheduling for large problem sizes and optimize the target system. The algorithm uses geometrical analysis based on an Artificial Intelligence (AI) technique to produce the optimal solution for the allocation/scheduling problem, also it uses pruning techniques to reduce the size of the search space and to minimize the number of processors that used. The viability and potential of the proposed algorithm is demonstrated by extensive experimental results (more than 180 random task graphs) to conclude that the proposed algorithm is an efficient scheme to obtain the optimality with hard and large problem of task graphs.
Starting Page	231
Ending Page	236
File Size	512613
Page Count	6
File Format	PDF
ISBN	9781424458424
DOI	10.1109/ICCES.2009.5383277
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Processor scheduling High performance computing Optimization methods Optimal scheduling Systems engineering and theory State-space methods Artificial intelligence Scheduling algorithm Multiprocessing systems
Content Type	Text
Resource Type	Article

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