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.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer International Publishing
Zielgruppe
Illustrationen
34
13 s/w Abbildungen, 34 farbige Abbildungen
VII, 135 p. 47 illus., 34 illus. in color.
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 9 mm
Gewicht
ISBN-13
978-3-031-09778-2 (9783031097782)
DOI
10.1007/978-3-031-09779-9
Schweitzer Klassifikation
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.
