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Optimizing cache energy efficiency in multicore power system simulations

Content Provider	Springer Nature Link
Author	Khaitan, Siddhartha Kumar McCalley, James D.
Copyright Year	2013
Abstract	Due to recent trends in computer chip design and architecture, the power consumption of computing systems is increasing. Further, with increasing number of cores on a single chip, the size of cache is also increasing and hence, their contribution in overall processor power consumption has become significant. As computing systems become ubiquitous, their excessive power consumption is likely to increase the demands of electricity, thus increasing the level of stress on power systems. In this paper, we propose an approach for reducing cache energy consumption in power system dynamic simulations which are computationally intensive. Our approach is based on the observation that there exists large intra- and inter-program variation in cache resource demand in simulation of different contingencies. Thus, using decay cache technique, we dynamically turn off the cache blocks to save cache energy. In multicore systems, the requirements of meeting worst-case cache demand leads to over-provisioning of resources and hence, saving cache energy is even more important in multicore systems. Hence, we evaluate energy savings in the context of both dual-core and quad-core processors. We simulate several contingencies of different power systems using time domain simulation. Further, we explore the opportunity of dynamically saving cache energy by using a computer architecture simulator and simulate dual-core and quad-core processor configurations. The results show that our technique is effective in saving cache energy and also keeps the loss in performance minimal.
Starting Page	163
Ending Page	177
Page Count	15
File Format	PDF
ISSN	18683967
Journal	Energy Systems
Volume Number	5
Issue Number	1
e-ISSN	18683975
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-07-23
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Low power Energy efficiency Power system simulation Computer architecture simulation Cache energy saving Energy Economics Operations Research/Decision Theory Optimization Energy Systems
Content Type	Text
Resource Type	Article
Subject	Energy Economics and Econometrics Modeling and Simulation

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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