Beating floating point at its own game: Posit arithmetic

10.14529/jsfi170206

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Main Authors:	Gustafson, J.L, Yonemoto, I
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Published:	Publishing center of the South Ural State University 2020
Subjects:	Computer hardware Deep learning Energy efficiency Hardware IEEE Standards Linear algebra Neural networks Nitrogen compounds Sodium compounds Computer arithmetic Energy efficient computing Floating points Linpack Posits Unum computing Digital arithmetic
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/183865
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Institution:	National University of Singapore

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spelling	sg-nus-scholar.10635-1838652024-04-25T06:33:33Z Beating floating point at its own game: Posit arithmetic Gustafson, J.L Yonemoto, I DEPARTMENT OF COMPUTER SCIENCE Computer hardware Deep learning Energy efficiency Hardware IEEE Standards Linear algebra Neural networks Nitrogen compounds Sodium compounds Computer arithmetic Energy efficient computing Floating points Linpack Posits Unum computing Digital arithmetic 10.14529/jsfi170206 Supercomputing Frontiers and Innovations 4 2 71-86 2020-11-23T08:52:07Z 2020-11-23T08:52:07Z 2017 Article Gustafson, J.L, Yonemoto, I (2017). Beating floating point at its own game: Posit arithmetic. Supercomputing Frontiers and Innovations 4 (2) : 71-86. ScholarBank@NUS Repository. https://doi.org/10.14529/jsfi170206 2409-6008 https://scholarbank.nus.edu.sg/handle/10635/183865 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Publishing center of the South Ural State University Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Computer hardware Deep learning Energy efficiency Hardware IEEE Standards Linear algebra Neural networks Nitrogen compounds Sodium compounds Computer arithmetic Energy efficient computing Floating points Linpack Posits Unum computing Digital arithmetic
spellingShingle	Computer hardware Deep learning Energy efficiency Hardware IEEE Standards Linear algebra Neural networks Nitrogen compounds Sodium compounds Computer arithmetic Energy efficient computing Floating points Linpack Posits Unum computing Digital arithmetic Gustafson, J.L Yonemoto, I Beating floating point at its own game: Posit arithmetic
description	10.14529/jsfi170206
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Gustafson, J.L Yonemoto, I
format	Article
author	Gustafson, J.L Yonemoto, I
author_sort	Gustafson, J.L
title	Beating floating point at its own game: Posit arithmetic
title_short	Beating floating point at its own game: Posit arithmetic
title_full	Beating floating point at its own game: Posit arithmetic
title_fullStr	Beating floating point at its own game: Posit arithmetic
title_full_unstemmed	Beating floating point at its own game: Posit arithmetic
title_sort	beating floating point at its own game: posit arithmetic
publisher	Publishing center of the South Ural State University
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183865
_version_	1800914726041944064

Beating floating point at its own game: Posit arithmetic

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