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2009
ACM

Online work maximization under a peak temperature constraint

9 years 6 months ago
Online work maximization under a peak temperature constraint
Increasing power densities and the high cost of low thermal resistance packages and cooling solutions make it impractical to design processors for worst-case temperature scenarios. As a result, packages and cooling solutions are designed for less than worst-case power densities and dynamic voltage and frequency scaling (DVFS) is used to prevent dangerous on-chip temperatures at run time. Unfortunately, DVFS can cause unpredicted drops in performance (e.g., long response times). We propose and optimally solve the problem of thermally-constrained online work maximization for general-purpose computing systems on uniprocessors with discrete speed levels and non-negligible transition overheads. Simulation results show that our approach completes 47.7% on average and up to 68.0% more cycles than a na¨ıve policy. Categories and Subject Descriptors B.8 [Hardware]: Performance and Reliability General Terms Algorithms, Design, Performance, Theory
Thidapat Chantem, Xiaobo Sharon Hu, Robert P. Dick
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where ISLPED
Authors Thidapat Chantem, Xiaobo Sharon Hu, Robert P. Dick
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