DocumentCode :
1192966
Title :
Architecture-Level Thermal Characterization for Multicore Microprocessors
Author :
Li, Duo ; Tan, Sheldon X D ; Pacheco, Eduardo Hernandez ; Tirumala, M.
Author_Institution :
Dept. of Electr. Eng., Univ. of California, Riverside, CA, USA
Volume :
17
Issue :
10
fYear :
2009
Firstpage :
1495
Lastpage :
1507
Abstract :
This paper investigates a new architecture-level thermal characterization problem from a behavioral modeling perspective to address the emerging thermal related analysis and optimization problems for high-performance multicore microprocessor design. We propose a new approach, called ThermPOF, to build the thermal behavioral models from the measured or simulated thermal and power information at the architecture level. ThermPOF first builds the behavioral thermal model using the generalized pencil-of-function (GPOF) method. Owing to the unique characteristics of transient temperature changes at the chip level, we propose two new schemes to improve the GPOF. First, we apply a logarithmic-scale sampling scheme instead of the traditional linear sampling to better capture the temperature changing behaviors. Second, we modify the extracted thermal impulse response such that the extracted poles from GPOF are guaranteed to be stable without accuracy loss. To further reduce the model size, a Krylov subspace-based reduction method is performed to reduce the order of the models in the state-space form. Experimental results on a real quad-core microprocessor show that generated thermal behavioral models match the given temperature very well.
Keywords :
logic design; microprocessor chips; parallel architectures; thermal analysis; thermal management (packaging); transient response; Krylov subspace-based reduction method; ThermPOF; architecture-level thermal characterization; generalized pencil-of-function method; high-performance multicore microprocessor design; logarithmic-scale sampling scheme; quadcore microprocessor; thermal behavioral model; thermal impulse response; thermal related analysis; traditional linear sampling; Krylov subspace; matrix pencil; multi-core CPU; thermal model;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2008.2005193
Filename :
4801519
Link To Document :
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