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Next generation arithmetic = third I...
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International Conference on Next Generation Arithmetic (2022 :)
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Next generation arithmetic = third International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Next generation arithmetic/ edited 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:
International Conference on Next Generation Arithmetic
Published:
Cham :Springer International Publishing : : 2022.,
Description:
vii, 135 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Computer arithmetic - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-09779-9
ISBN:
9783031097799
Next generation arithmetic = third International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
Next generation arithmetic
third 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 ;13253..
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
Standard No.: 10.1007/978-3-031-09779-9doiSubjects--Topical Terms:
696808
Computer arithmetic
--Congresses.
LC Class. No.: QA76.9.C62 / I57 2022
Dewey Class. No.: 004.01513
Next generation arithmetic = third International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
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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.
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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.
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EB QA76.9.C62 I57 2022
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