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Next generation arithmetic = third I...

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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Next generation arithmetic/ edited by John Gustafson, Vassil Dimitrov.
其他題名:	third International Conference, CoNGA 2022, Singapore, March 1-3, 2022 : revised selected papers /
其他題名:	CoNGA 2022
其他作者:	Gustafson, John.
團體作者:	International Conference on Next Generation Arithmetic
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	vii, 135 p. :ill., digital ;24 cm.
內容註:	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
標題:	Computer arithmetic - Congresses. -
電子資源:	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 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 ;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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