Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Next Generation Arithmetic
Details
This book constitutes the refereed proceedings of the Third International Conference on Next Generation Arithmetic, CoNGA 2022, which was held in Singapore, during March 13, 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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031097782
- Genre Information Technology
- Auflage 1st edition 2022
- Editor Vassil Dimitrov, John Gustafson
- Lesemotiv Verstehen
- Anzahl Seiten 144
- Größe H235mm x B155mm x T9mm
- Jahr 2022
- EAN 9783031097782
- Format Kartonierter Einband
- ISBN 3031097785
- Veröffentlichung 14.07.2022
- Titel Next Generation Arithmetic
- Untertitel Third International Conference, CoNGA 2022, Singapore, March 1-3, 2022, Revised Selected Papers
- Gewicht 230g
- Herausgeber Springer International Publishing
- Sprache Englisch