DocumentCode :
104342
Title :
Post-Silicon Characterization and On-Line Prediction of Transient Thermal Field in Integrated Circuits Using Thermal System Identification
Author :
Minki Cho ; Ahmed, Khondker Zakir ; Song, William J. ; Yalamanchili, Sudhakar ; Mukhopadhyay, Saibal
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
4
Issue :
1
fYear :
2014
fDate :
Jan. 2014
Firstpage :
37
Lastpage :
45
Abstract :
Thermal system identification (TSI) is presented as a methodology to characterize and estimate the transient thermal field of a packaged IC for various workloads considering chip-to-chip variations in electrical and thermal properties. The time-frequency duality is used to identify the thermal system as a low-pass filter in frequency domain through on-line power/thermal measurements on a packaged IC. The identified characteristic system for an individual IC is used for on-line prediction of the transient thermal field of that specific IC for a power pattern. A test-chip, fabricated in 130-nm CMOS, demonstrates the effectiveness of TSI in post-silicon characterization and prediction of transient thermal field. The application TSI in thermal analysis of multicore processors is presented.
Keywords :
CMOS integrated circuits; integrated circuit packaging; integrated circuit testing; low-pass filters; multiprocessing systems; temperature measurement; thermal management (packaging); thermal properties; time-frequency analysis; CMOS; TSI; chip-to-chip variations; electrical properties; frequency domain; low-pass filter; multicore processors; online power/thermal measurements; online prediction; packaged IC; post-silicon characterization; power pattern; size 130 nm; test-chip; thermal analysis; thermal properties; thermal system identification; time-frequency duality; transient thermal field; Heating; Semiconductor device measurement; Temperature; Temperature measurement; Temperature sensors; Fourier transform; frequency-domain modeling; post-silicon temperature prediction; process variations;
fLanguage :
English
Journal_Title :
Components, Packaging and Manufacturing Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
2156-3950
Type :
jour
DOI :
10.1109/TCPMT.2013.2271504
Filename :
6587812
Link To Document :
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