NDLI: Predictive dynamic thermal management for multicore systems

Content Provider	IEEE Xplore Digital Library
Author	Inchoon Yeo Chih Chun Liu Eun Jung Kim
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Texas A&M Univ., College Station, TX (Inchoon Yeo; Chih Chun Liu; Eun Jung Kim)
Abstract	Recently, processor power density has been increasing at an alarming rate resulting in high on-chip temperature. Higher temperature increases current leakage and causes poor reliability. In this paper, we propose a Predictive Dynamic Thermal Management (PDTM) based on Application-based Thermal Model (ABTM) and Core-based Thermal Model (CBTM) in the multicore systems. ABTM predicts future temperature based on the application specific thermal behavior, while CBTM estimates core temperature pattern by steady state temperature and workload. The accuracy of our prediction model is 1.6% error in average compared to the model in HybDTM, which has at most 5% error. Based on predicted temperature from ABTM and CBTM, the proposed PDTM can maintain the system temperature below a desired level by moving the running application from the possible overheated core to the future coolest core (migration) and reducing the processor resources (priority scheduling) within multicore systems. PDTM enables the exploration of the tradeoff between throughput and fairness in temperature-constrained multicore systems. We implement PDTM on Intel's Quad-Core system with a specific device driver to access Digital Thermal Sensor (DTS). Compared against Linux standard scheduler, PDTM can decrease average temperature about 10%, and peak temperature by 5degC with negligible impact of performance under 1%, while running single SPEC2006 benchmark. Moreover, our PDTM outperforms HRTM in reducing average temperature by about 7% and peak temperature by about 3degC with performance overhead by 0.15% when running single benchmark.
Starting Page	734
Ending Page	739
File Size	462590
Page Count	6
File Format	PDF
ISBN	9781605581156
ISSN	0738100X
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Thermal management Multicore processing Predictive models Temperature sensors Power system management Power system modeling Processor scheduling Power system reliability State estimation Steady-state Temperature Dynamic Thermal Management Operating System
Content Type	Text
Resource Type	Article

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