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