Switching activity analysis considering spatiotemporal correlations
ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
Statistical estimation of the switching activity in digital circuits
DAC '94 Proceedings of the 31st annual Design Automation Conference
Improving the accuracy of circuit activity measurement
DAC '94 Proceedings of the 31st annual Design Automation Conference
Power estimation techniques for integrated circuits
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
Implementation of an efficient parallel BDD package
DAC '96 Proceedings of the 33rd annual Design Automation Conference
A fast and accurate delay dependent method for switching estimation of large combinational circuits
Journal of Systems Architecture: the EUROMICRO Journal
Switching activity estimation of VLSI circuits using Bayesian networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Dual-transition glitch filtering in probabilistic waveform power estimation
GLSVLSI '05 Proceedings of the 15th ACM Great Lakes symposium on VLSI
Enhanced Dual-Transition Probabilistic Power Estimation with Selective Supergate Analysis
ICCD '05 Proceedings of the 2005 International Conference on Computer Design
Gate-level power estimation using tagged probabilistic simulation
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Power Optimization of Parallel Multipliers in Systems with Variable Word-Length
Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation
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A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each circuit node is estimated. Existing methods have local glitch filtering approaches that fail to model this phenomenon correctly. Glitches originated from a node may be filtered in some, but not necessarily all, of its successor nodes. Our waveform set approach allows us to utilize a global glitch filtering technique that can model the removal ofglitches in more detail. It produces error free estimates for tree structured circuits. For other circuit, experimental results using the ISCAS'85 benchmarks show that the waveform set method generally provides significantly better estimates of the transition density compared to previous techniques.