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A Mathematical Basis For Power-Reduction In Digital VLSI Systems (1997)  (Make Corrections)  (22 citations)
Naresh R. Shanbhag



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Abstract: Presented in this paper is a mathematical basis for power-reduction in VLSI systems. This basis is employed to 1.) derive lower bounds on the power dissipation in digital systems and 2.) unify existing power-reduction techniques under a common framework. The proposed basis is derived from information-theoretic arguments. In particular, a digital signal processing algorithm is viewed as a process of information transfer with an inherent information transfer rate requirement of/ bits/sec.... (Update)

Context of citations to this paper:   More

...of these coding schemes. This work is a continuation of our effort in developing an information theoretic view of VLSI computation [5], whereby equivalence between computation and communication is being established. 2. BOUNDS ON TRANSITION ACTIVITY In this section, we...

.... paper is a continuation of our effort in developing an informationtheoretic view of very large scale integration (VLSI) computation [9] [16], whereby equivalence between computation and communication is being established. This equivalence has provided lower bounds on power...

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Memory Bus Encoding for Low Power: A Tutorial - Wei-Chung Cheng And   (Correct)
Energy Reduction in VLSI Computation Modules: - An Information-Theoretic.. (2003)   (Correct)
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI).. - Deep Submicron Noise   (Correct)

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0.9:   Lower Bounds on Power-Dissipation for DSP Algorithms - Shanbhag (1996)   (Correct)
0.8:   Low-Power Adaptive Filter Architectures and their Application .. - Shanbhag, Goel (1997)   (Correct)
0.6:   Low-Power Adaptive Filter Architectures and their Application .. - Shanbhag, Goel (1997)   (Correct)

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1.8:   A Fundamental Basis for Power-Reduction in VLSI Circuits - Shanbhag (1996)   (Correct)
0.5:   Energy-Efficiency in Presence of Deep Submicron Noise - Hegde, Shanbhag (1998)   (Correct)
0.4:   Energy-Efficiency Bounds for Noise-Tolerant Dynamic Circuits - Shanbhag, Wang   (Correct)

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12:   Information Theoretic Measures for Power Analysis - Marculescu, Marculescu et al. - 1996
12:   Minimizing power consumption in digital CMOS circuits (context) - Chandrakasan, Brodersen - 1995
11:   Asymptotic zerotransition activity encoding for address busses in low-power micr.. (context) - BENINI, DE MICHELI et al. - 1997

BibTeX entry:   (Update)

N. R. Shanbhag, "A mathematical basis for power-reduction in digital VLSI systems," IEEE Transactions on Circuits and Systems, Part II, vol. 44, no. 11, pp. 935--951, November 1997. http://citeseer.ist.psu.edu/shanbhag97mathematical.html   More

@misc{ shanbhag97mathematical,
  author = "N. Shanbhag",
  title = "A mathematical basis for power-reduction in digital VLSI systems",
  text = "N. R. Shanbhag, A mathematical basis for power-reduction in digital VLSI
    systems, IEEE Transactions on Circuits and Systems, Part II, vol. 44, no.
    11, pp. 935--951, November 1997.",
  year = "1997",
  url = "citeseer.ist.psu.edu/shanbhag97mathematical.html" }
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Documents on the same site (http://www.icims.csl.uiuc.edu/~shanbhag/vips/publications.html):   More
Noise-Tolerant Dynamic Circuit Design - Wang, Shanbhag (1999)   (Correct)
Architecture Driven Filter Transformations - Manish Sharma And   (Correct)
Adaptive Error-Cancellation for Low-Power Digital Filtering - Wang, Shanbhag   (Correct)

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