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Decomposition of Extended Finite State Machine for Low Power Design

Published: 03 March 2003 Publication History

Abstract

Power reduction can be achieved by turnig off portions of circuits that are idle. Unlike previous work which focused only on either controller or data-path, we propose a decomposition technique that takes both controller and data-path into consideration where, in the former, the state probability of an FSM provides the execution frequency of operations in that state. And, in the latter, operations performed in states provide the information of resource requirements which can be used to determine the resource sharing among states. The goal is to synthesize circuits such that the sub-machine with small area (data-path and controller) will be turned on most of the time (high state probability) and all other parts are turned off. Our experimental results show that on average, 10% area reduction and 24% power reduction can be achieved as compared with designs without decomposition.

References

[1]
{1} Chien-Jyh Liu and Shi-Yu Huang, "Low-Power Synthesis For Extended Finite State Machines", Proc. of the 12th VLSI/CAD Symposium , 2001.
[2]
{2} D.D. Gajski. "Principles of digital design", Prentice Hall, 1997.
[3]
{3} S-H. Chow, Y-C. Ho, T-T. Hwang and C. L. Liu, "Low Power Realization of Finite State Machines-A Decomposition Approach", ACM Transactions on Design Automation of Electronic Systems, vol. 1, no. 3, pp. 315-340, 1996.

Cited By

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  • (2018)Fuzzy c-mean clustering-based decomposition with GA optimizer for FSM synthesis targeting to low powerEngineering Applications of Artificial Intelligence10.1016/j.engappai.2017.10.02268:C(40-52)Online publication date: 1-Feb-2018
  • (2003)A decomposition procedure for register-transfer level power managementProceedings of the 4th international conference conference on Computer systems and technologies: e-Learning10.1145/973620.973624(26-31)Online publication date: 19-Jun-2003

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cover image ACM Conferences
DATE '03: Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
March 2003
1112 pages
ISBN:0769518702

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IEEE Computer Society

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Published: 03 March 2003

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View all
  • (2018)Fuzzy c-mean clustering-based decomposition with GA optimizer for FSM synthesis targeting to low powerEngineering Applications of Artificial Intelligence10.1016/j.engappai.2017.10.02268:C(40-52)Online publication date: 1-Feb-2018
  • (2003)A decomposition procedure for register-transfer level power managementProceedings of the 4th international conference conference on Computer systems and technologies: e-Learning10.1145/973620.973624(26-31)Online publication date: 19-Jun-2003

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