A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors
Publication
, Conference
Juan, DC; Zhou, H; Marculescu, D; Li, X
Published in: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
April 26, 2012
Thermal issues have become critical roadblocks for the development of advanced chip-multiprocessors (CMPs). In this paper, we introduce a new angle to view transient thermal analysis - based on predicting thermal profile, instead of calculating it. We develop a systematic framework that can learn different thermal profiles of a CMP by using an autoregressive (AR) model. The proposed AR model can serve as a fast alternative for predicting the transient temperature of a CMP with reasonably good accuracy. Experimental results show that the proposed AR model can achieve approximately 113X speed-up over existing thermal profile estimation methods, while introducing an error of only 0.8°C on average. © 2012 IEEE.
Duke Scholars
Published In
Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
DOI
Publication Date
April 26, 2012
Start / End Page
597 / 602
Citation
APA
Chicago
ICMJE
MLA
NLM
Juan, D. C., Zhou, H., Marculescu, D., & Li, X. (2012). A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC (pp. 597–602). https://doi.org/10.1109/ASPDAC.2012.6165027
Juan, D. C., H. Zhou, D. Marculescu, and X. Li. “A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors.” In Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 597–602, 2012. https://doi.org/10.1109/ASPDAC.2012.6165027.
Juan DC, Zhou H, Marculescu D, Li X. A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. In: Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2012. p. 597–602.
Juan, D. C., et al. “A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors.” Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 2012, pp. 597–602. Scopus, doi:10.1109/ASPDAC.2012.6165027.
Juan DC, Zhou H, Marculescu D, Li X. A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC. 2012. p. 597–602.
Published In
Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
DOI
Publication Date
April 26, 2012
Start / End Page
597 / 602