Please use this identifier to cite or link to this item: https://doi.org/10.1145/2463209.2488875
Title: Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems
Authors: Singh, A.K.
Das, A.
Kumar, A. 
Keywords: Energy consumption
Multiprocessor systems-on-chip
Streaming applications
Throughput constraint
Issue Date: 2013
Source: Singh, A.K.,Das, A.,Kumar, A. (2013). Energy optimization by exploiting execution slacks in streaming applications on multiprocessor systems. Proceedings - Design Automation Conference : -. ScholarBank@NUS Repository. https://doi.org/10.1145/2463209.2488875
Abstract: Dynamic voltage and frequency scaling (DVFS) offers great potential for optimizing the energy efficiency of Multiprocessor Systems-on-Chip (MPSoCs). The conventional approaches for processor voltage and frequency adjustment are not suitable for streaming multimedia applications due to the cyclic nature of dependencies in the executing tasks which can potentially violate the throughput constraints. In this paper, we propose a methodology that applies DVFS for such cyclic dependent tasks. The methodology involves an off-line analysis that assumes worst-case execution times of tasks to identify the executions that can be slowed down and an on-line analysis to utilize the slacks arising from tasks that finish their execution before the worst-case execution times. Thus, the methodology minimizes energy consumption during both off-line and on-line analysis while satisfying the throughput constraints. Experiments based on models of real-life streaming multimedia applications show that the proposed methodology reduces the overall energy consumption by 43% when compared to existing approaches. Copyright © 2013 ACM.
Source Title: Proceedings - Design Automation Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/70170
ISBN: 9781450320719
ISSN: 0738100X
DOI: 10.1145/2463209.2488875
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