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An efficient scheduling methodology for heterogeneous multi-core processor systems

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5 Author(s)
Elhossini, A. ; Sch. of Eng., Univ. of Guelph, Guelph, ON, Canada ; Huissman, J. ; Debowski, B. ; Areibi, S.
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This paper outlines a scheduling methodology for signal processing applications onto heterogeneous multiprocessor systems. The goal is to efficiently schedule an application in the form of direct acyclic graphs (DAG), onto a heterogeneous processor environment. The solution is to use a variety of optimization techniques based on greedy methods and meta-heuristic methods to solve the problem. Results obtained indicate that the system is efficient in placing tasks to create an optimal schedule.

Published in:

Microelectronics (ICM), 2010 International Conference on

Date of Conference:

19-22 Dec. 2010

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