Title
Low Power Oriented CMOS Circuit Optimization Protocol
Abstract
Low power oriented circuit optimization consists in selecting the best alternative between gate sizing, buffer insertion and logic structure transformation, for satisfying a delay constraint at minimum area cost. In this paper, we used a closed form model of delay in CMOS structures to define metrics for a deterministic selection of the optimization alternative. The target is delay constraint satisfaction with minimum area cost. We validate the design space exploration method, defining maximum and minimum delay bounds on logical paths. Then we adapt this method to a "constant sensitivity method" allowing us to size a circuit at minimum area under a delay constraint. An optimisation protocol is finally defined to manage the performance constraint/circuit structure trade-off. These methods are implemented in an optimization tool (POPS) and validated by comparing, on a 0.25 μm process, the optimization efficiency obtained on various benchmarks (ISCAS'85) to that resulting from an industrial tool.
Year
DOI
Venue
2005
10.1109/DATE.2005.202
Clinical Orthopaedics and Related Research
Keywords
Field
DocType
circuit optimization protocol,minimum delay bound,optimization alternative,optimization efficiency,minimum area cost,trade-off performance constraint,delay constraint,optimization tool,circuit optimization,low power oriented cmos,minimum area,delay constraint satisfaction,constraint satisfaction,satisfiability,semiconductor device modeling,logic design,scrubbing,protocols,space exploration,low power electronics,cost function,design methodology,logic circuits,integrated circuit design
Delay calculation,Logic synthesis,Constraint satisfaction,Computer science,Real-time computing,CMOS,Integrated circuit design,Design space exploration,AND gate,Low-power electronics
Conference
ISSN
ISBN
Citations 
1530-1591
0-7695-2288-2
2
PageRank 
References 
Authors
0.44
6
5
Name
Order
Citations
PageRank
Alexandre Verle121.46
X. Michel2222.40
N. Azemard310414.17
P. Maurine414214.46
Daniel Auvergne514531.67