Imprecise Arithmetic for Low Power Image Processing

Pietro Albicocco; Gian Carlo  Cardarilli; Alberto Nannarelli; Massimo Petricca; Marco  Re

doi:10.1109/ACSSC.2012.6489164

Imprecise Arithmetic for Low Power Image Processing

Pietro Albicocco
, Gian Carlo Cardarilli
, Alberto Nannarelli
, Massimo Petricca
, Marco Re

University of Rome Tor Vergata

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed ”sloppy” operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing.

Original language	English
Title of host publication	2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
Publisher	IEEE
Publication date	2012
Pages	983-987
ISBN (Print)	978-1-4673-5050-1
DOIs	https://doi.org/10.1109/ACSSC.2012.6489164
Publication status	Published - 2012
Event	46th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: 4 Nov 2012 → 7 Nov 2012 http://www.asilomarssc.org/

Conference

Conference	46th Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove, CA
Period	04/11/2012 → 07/11/2012
Internet address	http://www.asilomarssc.org/

Series	Asilomar Conference on Signals, Systems and Computers. Conference Record
ISSN	1058-6393

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title = "Imprecise Arithmetic for Low Power Image Processing",

abstract = "Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed ”sloppy” operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing.",

author = "Pietro Albicocco and Cardarilli, \{Gian Carlo\} and Alberto Nannarelli and Massimo Petricca and Marco Re",

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doi = "10.1109/ACSSC.2012.6489164",

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note = "46th Asilomar Conference on Signals, Systems and Computers ; Conference date: 04-11-2012 Through 07-11-2012",

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Albicocco, P, Cardarilli, GC, Nannarelli, A, Petricca, M & Re, M 2012, Imprecise Arithmetic for Low Power Image Processing. in 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR). IEEE, Asilomar Conference on Signals, Systems and Computers. Conference Record, pp. 983-987 , 46th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 04/11/2012. https://doi.org/10.1109/ACSSC.2012.6489164

Imprecise Arithmetic for Low Power Image Processing. / Albicocco, Pietro; Cardarilli, Gian Carlo ; Nannarelli, Alberto et al.
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR). IEEE, 2012. p. 983-987 (Asilomar Conference on Signals, Systems and Computers. Conference Record).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Imprecise Arithmetic for Low Power Image Processing

AU - Albicocco, Pietro

AU - Cardarilli, Gian Carlo

AU - Nannarelli, Alberto

AU - Petricca, Massimo

AU - Re, Marco

PY - 2012

Y1 - 2012

N2 - Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed ”sloppy” operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing.

AB - Sometimes reducing the precision of a numerical processor, by introducing errors, can lead to significant performance (delay, area and power dissipation) improvements without compromising the overall quality of the processing. In this work, we show how to perform the two basic operations, addition and multiplication, in an imprecise manner by simplifying the hardware implementation. With the proposed ”sloppy” operations, we obtain a reduction in delay, area and power dissipation, and the error introduced is still acceptable for applications such as image processing.

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DO - 10.1109/ACSSC.2012.6489164

M3 - Article in proceedings

SN - 978-1-4673-5050-1

T3 - Asilomar Conference on Signals, Systems and Computers. Conference Record

SP - 983

EP - 987

BT - 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

PB - IEEE

T2 - 46th Asilomar Conference on Signals, Systems and Computers

Y2 - 4 November 2012 through 7 November 2012

ER -

Imprecise Arithmetic for Low Power Image Processing

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