Built-in test for VLSI: pseudorandom techniques
Built-in test for VLSI: pseudorandom techniques
Data compression: methods and theory
Data compression: methods and theory
The algebraic eigenvalue problem
The algebraic eigenvalue problem
Transition density, a stochastic measure of activity in digital circuits
DAC '91 Proceedings of the 28th ACM/IEEE Design Automation Conference
Estimation of average switching activity in combinational and sequential circuits
DAC '92 Proceedings of the 29th ACM/IEEE Design Automation Conference
Estimation of circuit activity considering signal correlations and simultaneous switching
ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
Power estimation methods for sequential logic circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
ISLPED '95 Proceedings of the 1995 international symposium on Low power design
The design and implementation of PowerMill
ISLPED '95 Proceedings of the 1995 international symposium on Low power design
Power minimization in IC design: principles and applications
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Efficient estimation of dynamic power consumption under a real delay model
ICCAD '93 Proceedings of the 1993 IEEE/ACM international conference on Computer-aided design
On a Weight Distribution Problem, with Application to the Design of Stochastic Generators
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A linear-time heuristic for improving network partitions
DAC '82 Proceedings of the 19th Design Automation Conference
Introduction to probabilistic automata (Computer science and applied mathematics)
Introduction to probabilistic automata (Computer science and applied mathematics)
Probabilistic modeling of dependencies during switching activity analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
A Markov chain sequence generator for power macromodeling
Proceedings of the 2002 IEEE/ACM international conference on Computer-aided design
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In power estimation, one is faced with two problems: (1) generating input vector sequences that satisfy a given statistical behavior (in terms of signal probabilities and correlations among bits); (2) making these sequences as short as possible so as to improve the efficiency of power simulators. Stochastic sequential machines (SSMs) can be used to solve both problems. In particular, this paper presents a general procedure for SSM synthesis and describes a new framework for sequence characterization to match designers' needs for sequence generation or compaction. Experimental results demonstrate that compaction ratios of 1–3 orders of magnitude can be obtained without much loss in accuracy of total power estimates.