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|a 9783031097799
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|a Gustafson, John
|e [editor]
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|a Next Generation Arithmetic
|h Elektronische Ressource
|b Third International Conference, CoNGA 2022, Singapore, March 1–3, 2022, Revised Selected Papers
|c edited by John Gustafson, Vassil Dimitrov
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|a 1st ed. 2022
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260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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300 |
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|a VII, 135 p. 47 illus., 34 illus. in color
|b online resource
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|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
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653 |
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|a Computer Communication Networks
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653 |
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|a Microprogramming
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653 |
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|a Coding and Information Theory
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653 |
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|a Coding theory
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653 |
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|a Mathematics of Computing
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653 |
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|a Computer science / Mathematics
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653 |
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|a Computer arithmetic and logic units
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|a Computer networks
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|a Control Structures and Microprogramming
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|a Information theory
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653 |
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|a Input/Output and Data Communications
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|a Computer input-output equipment
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653 |
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|a Arithmetic and Logic Structures
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700 |
1 |
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|a Dimitrov, Vassil
|e [editor]
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041 |
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7 |
|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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490 |
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|a Lecture Notes in Computer Science
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028 |
5 |
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|a 10.1007/978-3-031-09779-9
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856 |
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|u https://doi.org/10.1007/978-3-031-09779-9?nosfx=y
|x Verlag
|3 Volltext
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|a 004.01513
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520 |
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|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.
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