國立高雄大學圖資館 |

Language: English

Back

Next generation arithmeticthird International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Next generation arithmeticedited by John Gustafson, Vassil Dimitrov.
Reminder of title:	third International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
remainder title:	CoNGA 2022
other author:	Gustafson, John.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	vii, 135 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer arithmetic
Online resource:	https://doi.org/10.1007/978-3-031-09779-9
ISBN:	9783031097799$q(electronic bk.)

Next generation arithmeticthird International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
Next generation arithmeticthird International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /[electronic resource] :CoNGA 2022edited by John Gustafson, Vassil Dimitrov. - Cham :Springer International Publishing :2022. - vii, 135 p. :ill., digital ;24 cm. - Lecture notes in computer science,132530302-9743 ;. - Lecture notes in computer science ;4891..

On the Implementation of Edge Detection Algorithms with SORN Arithmetic -- A Posit8 Decompression Operator for Deep Neural Network Inference -- Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning -- ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML -- MultiPosits: Universal Coding of Rn -- Comparing Different Decodings for Posit Arithmetic -- Universal⋆: Reliable, Reproducible, and Energy-Efficient Numerics -- Small reals representations for Deep Learning at the edge: a comparison.

This book constitutes the refereed proceedings of the Third International Conference on Next Generation Arithmetic, CoNGA 2022, which was held in Singapore, during March 1-3, 2022. The 8 full papers included in this book were carefully reviewed and selected from 12 submissions. They deal with emerging technologies for computer arithmetic focusing on the demands of both AI and high-performance computing.

ISBN: 9783031097799$q(electronic bk.)

Standard No.: 10.1007/978-3-031-09779-9doiSubjects--Topical Terms:

216677
Computer arithmetic

LC Class. No.: QA76.9.C62 / I57 2022

Dewey Class. No.: 004.01513

Next generation arithmeticthird International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
LDR:02138nmm a2200349 a 4500 001 627598
003 DE-He213
005 20220713142415.0
006 m d
007 cr nn 008maaau
008 230201s2022 sz s 0 eng d
020 $a 9783031097799$q(electronic bk.)
020 $a 9783031097782$q(paper)
024 7 $a 10.1007/978-3-031-09779-9 $2 doi
035 $a 978-3-031-09779-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.C62 $b I57 2022
072 7 $a UK $2 bicssc
072 7 $a COM036000 $2 bisacsh
072 7 $a UK $2 thema
082 0 4 $a 004.01513 $2 23
090 $a QA76.9.C62 $b I61 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Next generation arithmetic $h [electronic resource] : $b third International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers / $c edited by John Gustafson, Vassil Dimitrov.
246 3 $a CoNGA 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a vii, 135 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13253
505 0 $a On the Implementation of Edge Detection Algorithms with SORN Arithmetic -- A Posit8 Decompression Operator for Deep Neural Network Inference -- Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning -- ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML -- MultiPosits: Universal Coding of Rn -- Comparing Different Decodings for Posit Arithmetic -- Universal⋆: Reliable, Reproducible, and Energy-Efficient Numerics -- Small reals representations for Deep Learning at the edge: a comparison.
520 $a This book constitutes the refereed proceedings of the Third International Conference on Next Generation Arithmetic, CoNGA 2022, which was held in Singapore, during March 1-3, 2022. The 8 full papers included in this book were carefully reviewed and selected from 12 submissions. They deal with emerging technologies for computer arithmetic focusing on the demands of both AI and high-performance computing.
650 0 $a Computer arithmetic $3 216677
650 1 4 $a Arithmetic and Logic Structures. $3 276274
650 2 4 $a Coding and Information Theory. $3 273763
650 2 4 $a Control Structures and Microprogramming. $3 274663
650 2 4 $a Input/Output and Data Communications. $3 274473
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Mathematics of Computing. $3 273710
700 1 $a Gustafson, John. $3 931694
700 1 $a Dimitrov, Vassil. $3 931695
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-09779-9
950 $a Computer Science (SpringerNature-11645)