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  • Conference proceedings
  • © 2022

Next Generation Arithmetic

Third International Conference, CoNGA 2022, Singapore, March 1–3, 2022, Revised Selected Papers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13253)

Conference series link(s): CoNGA: Conference on Next Generation Arithmetic

Conference proceedings info: CoNGA 2022.

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  • ISBN: 978-3-031-09779-9
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Table of contents (8 papers)

  1. Front Matter

    Pages i-vii
  2. On the Implementation of Edge Detection Algorithms with SORN Arithmetic

    • Moritz Bärthel, Nils Hülsmeier, Jochen Rust, Steffen Paul
    Pages 1-13
  3. A Posit8 Decompression Operator for Deep Neural Network Inference

    • Orégane Desrentes, Diana Resmerita, Benoît Dupont de Dinechin
    Pages 14-30
  4. Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning

    • Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong
    Pages 31-49
  5. ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML

    • Hamed F. Langroudi, Vedant Karia, Tej Pandit, Becky Mashaido, Dhireesha Kudithipudi
    Pages 50-65
  6. Comparing Different Decodings for Posit Arithmetic

    • Raul Murillo, David Mallasén, Alberto A. Del Barrio, Guillermo Botella
    Pages 84-99
  7. Universal: Reliable, Reproducible, and Energy-Efficient Numerics

    • E. Theodore L. Omtzigt, James Quinlan
    Pages 100-116
  8. Small Reals Representations for Deep Learning at the Edge: A Comparison

    • Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara
    Pages 117-133
  9. Back Matter

    Pages 135-135

Other Volumes

  1. Next Generation Arithmetic

    Third International Conference, CoNGA 2022, Singapore, March 1–3, 2022, Revised Selected Papers

About this book

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. 

Keywords

  • Computer arithmetic
  • high-performance computing
  • artificial intelligence
  • communication systems
  • computer networks
  • signal processing
  • telecommunication systems
  • computer vision
  • image processing
  • microprocessor chips
  • network protocols

Editors and Affiliations

  • School of Computing, National University of Singapore, Singapore, Singapore

    John Gustafson

  • University of Calgary, Calgary, Canada

    Vassil Dimitrov

Bibliographic Information

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-031-09779-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)