COSMOS: a continuous optimization approach for maximum power estimation of CMOS circuits
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
Fundamentals of modern VLSI devices
Fundamentals of modern VLSI devices
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Proceedings of the 2002 international symposium on Physical design
Proceedings of the 40th annual Design Automation Conference
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Proceedings of the 40th annual Design Automation Conference
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VLSID '99 Proceedings of the 12th International Conference on VLSI Design - 'VLSI for the Information Appliance'
Topological Analysis for Leakage Prediction of Digital Circuits
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
VLSID '03 Proceedings of the 16th International Conference on VLSI Design
Maximum Leakage Power Estimation for CMOS Circuits
VOLTA '99 Proceedings of the IEEE Alessandro Volta Memorial Workshop on Low-Power Design
Simultaneous Subthreshold and Gate-Oxide Tunneling Leakage Current Analysis in Nanometer CMOS Design
ISQED '03 Proceedings of the 4th International Symposium on Quality Electronic Design
Proceedings of the 2003 international symposium on Low power electronics and design
Average Leakage Current Estimation of CMOS Logic Circuits
VTS '01 Proceedings of the 19th IEEE VLSI Test Symposium
Maximum power estimation for CMOS circuits using deterministic and statistical approaches
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A Monte Carlo approach for maximum power estimation based on extreme value theory
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Power consumption has become a primary constraint of integrated circuit design. Many models have been proposed to evaluate dynamic and leakage power in every design level. However, how to accurately predict TPower, the total power with dynamic and leakage power included, for large-scale designs within reasonable time remains unsolved. In this paper, a new topic of vector extraction for power estimation is brought forward based on the distribution analysis of power consumption of different types. After extracted, a large number of vectors are compacted into much fewer without significant influence on the specified power property, which makes the application of accurate and fast simulator possible. For the purpose of validation, we use the method on average TPower vector extraction and obtain good experimental results.