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CoNGA 2022: Singapore

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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John Gustafson, Vassil S. Dimitrov:
Next Generation Arithmetic - Third International Conference, CoNGA 2022, Singapore, March 1-3, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13253, Springer 2022, ISBN 978-3-031-09778-2
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  - conf/conga/BarthelHRP22
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Moritz Bärthel, Nils Hülsmeier, Jochen Rust, Steffen Paul:
On the Implementation of Edge Detection Algorithms with SORN Arithmetic. 1-13
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  - conf/conga/DesrentesRD22
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Orégane Desrentes, Diana Resmerita, Benoît Dupont de Dinechin:
A Posit8 Decompression Operator for Deep Neural Network Inference. 14-30
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  - conf/conga/HoSGW22
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Nhut-Minh Ho, Himeshi De Silva, John L. Gustafson, Weng-Fai Wong:
Qtorch+: Next Generation Arithmetic for Pytorch Machine Learning. 31-49
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  - conf/conga/LangroudiKPMK22
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Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Becky Mashaido, Dhireesha Kudithipudi:
ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML. 50-65
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Peter Lindstrom:
MultiPosits: Universal Coding of Rⁿ. 66-83
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Raul Murillo, David Mallasén Quintana, Alberto A. Del Barrio, Guillermo Botella:
Comparing Different Decodings for Posit Arithmetic. 84-99
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E. Theodore L. Omtzigt, James Quinlan:
Universal: Reliable, Reproducible, and Energy-Efficient Numerics. 100-116
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  - conf/conga/Cococcioni0RS22
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Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara:
Small Reals Representations for Deep Learning at the Edge: A Comparison. 117-133

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