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2009
IEEE

Energy efficient multiprocessor task scheduling under input-dependent variation

9 years 6 months ago
Energy efficient multiprocessor task scheduling under input-dependent variation
— In this paper, we propose a novel, energy aware scheduling algorithm for applications running on DVS-enabled multiprocessor systems, which exploits variation in execution times of individual tasks. In particular, our algorithm takes into account latency and resource constraints, precedence constraints among tasks and input-dependent variation in execution times of tasks to produce a scheduling solution and voltage assignment such that the average energy consumption is minimized. Our algorithm is based on a mathematical programming formulation of the scheduling and voltage assignment problem and runs in polynomial time. Experiments with randomly generated task graphs show that up to 30% savings in energy can be obtained by using our algorithm over existing techniques. We perform experiments on two real-world applications – MPEG-4 decoder and MJPEG encoder. Simulations show that the scheduling solution generated by our algorithm can provide up to 25% reduction in energy consumption...
Jason Cong, Karthik Gururaj
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where DATE
Authors Jason Cong, Karthik Gururaj
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