<P>Dynamic voltage and frequency scaling (DVFS) for a parallel software program is crucial for lowering the ever-increasing power consumption of multiprocessor systems-on-chips (SoCs). In this paper, we propose an analytical DVFS method that jud...
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https://www.riss.kr/link?id=A107601613
2009
-
SCOPUS,SCIE
학술저널
568-581(14쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P>Dynamic voltage and frequency scaling (DVFS) for a parallel software program is crucial for lowering the ever-increasing power consumption of multiprocessor systems-on-chips (SoCs). In this paper, we propose an analytical DVFS method that jud...
<P>Dynamic voltage and frequency scaling (DVFS) for a parallel software program is crucial for lowering the ever-increasing power consumption of multiprocessor systems-on-chips (SoCs). In this paper, we propose an analytical DVFS method that judiciously exploits slack by considering the varying parallelism over each path in a task graph. The proposed method overcomes the conventional pessimistic assumption on the remaining workload, i.e., worst-case execution cycle. It yields minimum average energy consumption by utilizing the runtime distribution of a software program while satisfying the deadline constraints. The proposed method tackles leakage power consumption as well as dynamic power consumption by combined <I>V</I> <SUB>dd</SUB>/<I>V</I> <SUB>bb</SUB> scaling. Compared to conventional method , experimental results show that the proposed method provides up to 49.20% energy reduction for a set of synthetic task graphs and yields 23.93% and 27.15% energy reductions for two multimedia applications, namely, the H.264 encoder and decoder, respectively.</P>
Adaptive Scratch Pad Memory Management for Dynamic Behavior of Multimedia Applications