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Profile-Based Low Power Scheduling for Conditional Task Graph: A Communication Aware Approach

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3 Author(s)
Malani, P. ; Dept. of Electr. & Comput. Eng., Binghamton Univ., NY ; Mukre, P. ; Qinru Qiu

This work focuses on power optimization of realtime applications with conditional execution running on a dynamic voltage scaling (DVS) enabled multiprocessor system. A novel algorithm is proposed that performs simultaneous task mapping and ordering followed by task stretching of a conditional task graph (CTG). The algorithm minimizes the mathematical expectation of energy dissipation of non-deterministic applications with random branch selection by utilizing the task execution profile. Compared with existing scheduling algorithm, the experimental results show that our algorithm has 32% energy reduction in average.

Published in:

Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on

Date of Conference:

27-30 May 2007