Analysis of voltage overscaled computer arithmetics in low power signal processing systems

Yang Liu; Tong Zhang; Keshab K. Parhi

doi:10.1109/ACSSC.2008.5074802

Analysis of voltage overscaled computer arithmetics in low power signal processing systems

Yang Liu, Tong Zhang, Keshab K. Parhi

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

This work concerns the design of low power signal processing systems at overscaled supply voltage, in which the behavior of computer arithmetic units in response to overscaled voltage plays an importance role. We show that different hardware implementations of the same computer arithmetic function may respond to overscaled voltage very differently and result in different energy saving potential. Therefore, we develop an analytical approach to estimate the statistics of computer arithmetic computation errors due to supply voltages overscaling. Compared with computation intensive circuit simulations, this analytical approach can be several orders of magnitude faster and meanwhile achieve a reasonable accuracy.

Original language	English (US)
Title of host publication	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages	2093-2097
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2008.5074802
State	Published - 2008
Event	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States Duration: Oct 26 2008 → Oct 29 2008

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Country/Territory	United States
City	Pacific Grove, CA
Period	10/26/08 → 10/29/08

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10.1109/ACSSC.2008.5074802

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Analysis of voltage overscaled computer arithmetics in low power signal processing systems. / Liu, Yang; Zhang, Tong; Parhi, Keshab K.
2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008. 2008. p. 2093-2097 5074802 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liu, Y, Zhang, T & Parhi, KK 2008, Analysis of voltage overscaled computer arithmetics in low power signal processing systems. in 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008., 5074802, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 2093-2097, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008, Pacific Grove, CA, United States, 10/26/08. https://doi.org/10.1109/ACSSC.2008.5074802

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abstract = "This work concerns the design of low power signal processing systems at overscaled supply voltage, in which the behavior of computer arithmetic units in response to overscaled voltage plays an importance role. We show that different hardware implementations of the same computer arithmetic function may respond to overscaled voltage very differently and result in different energy saving potential. Therefore, we develop an analytical approach to estimate the statistics of computer arithmetic computation errors due to supply voltages overscaling. Compared with computation intensive circuit simulations, this analytical approach can be several orders of magnitude faster and meanwhile achieve a reasonable accuracy.",

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AB - This work concerns the design of low power signal processing systems at overscaled supply voltage, in which the behavior of computer arithmetic units in response to overscaled voltage plays an importance role. We show that different hardware implementations of the same computer arithmetic function may respond to overscaled voltage very differently and result in different energy saving potential. Therefore, we develop an analytical approach to estimate the statistics of computer arithmetic computation errors due to supply voltages overscaling. Compared with computation intensive circuit simulations, this analytical approach can be several orders of magnitude faster and meanwhile achieve a reasonable accuracy.

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Analysis of voltage overscaled computer arithmetics in low power signal processing systems

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