NDLI: Just-in-time component-wise power and thermal modeling

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Just-in-time component-wise power and thermal modeling

Content Provider	ACM Digital Library
Author	Homayoun, Houman Faizur Rahman, Shah Mohammad Yi, Qing
Abstract	As computer systems increasingly focus on balancing the performance and power efficiency of software applications together with temperature variations of the machine, they need to understand how software applications utilize the various architecture components differently. This paper develops a power and temperature modeling framework to provide such timely feedback, which can then be used to support a dynamic optimization system to attain better energy efficiency for applications. In particular, we present a framework that combines McPAT [17], a cycle accurate architecture simulation model, with runtime hardware performance counter statistics, to attain component-wise power consumption breakdown of applications while running at GHz speed. Our framework is able to consistently achieve 98% accuracy when compared to the actual system-level power consumption measured using a real-time power meter [1]. Finally, we present a preliminary study to demonstrate the potential of using our framework to support the optimizations of applications for better energy efficiency.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450333580
DOI	10.1145/2742854.2742880
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Machine learning Application categorization
Content Type	Text
Resource Type	Article

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