Fast and efficient voltage scheduling by evolutionary slack distribution

B. Gorjiara, P. Chou, N. Bagherzadeh, Mehrdad Reshadi, D. W. Jensen
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引用次数: 21

Abstract

To minimize energy consumption by voltage scaling in design of heterogeneous real-time embedded systems, it is necessary to perfom two distinct tasks: task scheduling (TS) and voltage selection (VS). Techniques propased to date either are fast hut yield inetlicient results, or output efficient solutions after many slow iterations. As a core problem to solve in the inner Iwp of a system-level optimization cycle, it is critical that the algorithm he fast while producing high quality results. This paper presents a new technique called EvolutioMry Relative Slack Distribution Voltage Scheduling (ERSD-VS) that achieves both speed and etrciency. It addresses priority adjustment and slack distribution issues with low cost heuristics. Experimental results from running publicly available testhenches show up to 42% energy saving compared to a published technique called EVEN-VS. It also shows up to 70 times speed improvement compared to an efficient technique called EE-GLSA.
基于进化松弛分布的快速高效电压调度
在异构实时嵌入式系统设计中,为了最大限度地减少电压缩放带来的能量消耗,有必要执行两个不同的任务:任务调度(TS)和电压选择(VS)。目前提出的技术要么速度快,但产生的结果效率不高,要么在多次缓慢迭代后输出高效的解决方案。作为系统级优化周期内部Iwp中要解决的核心问题,算法在产生高质量结果的同时保持速度至关重要。本文提出了一种既快速又高效的新技术——进化相对松弛配电电压调度(ERSD-VS)。它用低成本启发式方法解决了优先级调整和松弛分配问题。运行公开可用的testhenches的实验结果显示,与已发表的称为EVEN-VS的技术相比,节能高达42%。与一种名为EE-GLSA的高效技术相比,它的速度提高了70倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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