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Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability

Author
Ganapathy, S.; Canal, R.; Gonzalez, A.; Rubio, A.
Type of activity
Presentation of work at congresses
Name of edition
Design, Automation & Test in Europe 2010
Date of publication
2010
Presentation's date
2010-03-08
Book of congress proceedings
Design, Automation & Test in Europe: Dresden, Germany, March 8-12, 2010: proceedings
First page
417
Last page
422
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/DATE.2010.5457167 Open in new window
Repository
http://hdl.handle.net/2117/24023 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5457167 Open in new window
Abstract
With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits. Propagation delays which decide circuit performance are likely to suffer the most from this phenomena. While Statistical static timing analysis (SSTA) is used extensively for this purpose, it does not account for dynamic conditions during operation. In this paper, we present a multivariate regression based technique tha...
Citation
Ganapathy, S. [et al.]. Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability. A: Design, Automation and Test in Europe. "Design, Automation & Test in Europe: Dresden, Germany, March 8-12, 2010: proceedings". Dresden: Institute of Electrical and Electronics Engineers (IEEE), 2010, p. 417-422.
Keywords
Cache storage, Delays, Integrated circuit modelling, Regression analysis, Timing
Group of research
ARCO - Microarchitecture and Compilers
HIPICS - High Performance Integrated Circuits and Systems
VIRTUOS - Virtualisation and Operating Systems

Participants