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Speed Indicators for Circuit Optimization

Authors: Verle, Alexandre; Landrault, Alexis; Maurine, Philippe; Azemard, Nadine;

Speed Indicators for Circuit Optimization

Abstract

Due to the development of high performance portable applications associated to the high-density integration allowed by deep submicron processes, circuit optimization under delay constraints has emerged as a critical issue for VLSI designers. The objective of this work is to avoid the use of random mathematical methods (very CPU time expensive), by defining simple, fast and deterministic indicators allowing easy and fast implementation of circuits at the required speed. We propose to extend the method of equal sensitivity, previously developed for combinatorial paths [1], to circuit sizing in order to solve the circuit convergence branch problem. We propose a coefficient based approach to solve the divergence branch problem. Validation is given by comparing with an industrial tool the performance of different benchmarks implemented in a standard 180nm CMOS process.

Keywords

[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green