Application-Specific Arithmetic: Computing Just Right for the Reconfigurable Computer and the Dark Silicon Era

De Dinechin, Florent; Kumm, Martin

ISBN 10: 3031428072 / ISBN 13: 9783031428074

Verlag: Springer, 2024

Beschreibung

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Bestandsnummer des Verkäufers 18399309073

Bibliografische Details

• Titel: Application-Specific Arithmetic: Computing Just Right for the Reconfigurable Computer and the Dark Silicon Era
• Verlag: Springer
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 3031428072
• ISBN-13: 9783031428074
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Written by two experts of the domain, this book presents the most recent advances in computer arithmetic hardware, with a focus on application-specific arithmetic beyond the classic operators and the standard precisions. It targets silicon designers who have to do better with less in the post-Moore era, and FPGA developers who want to exploit the full possibilities of reconfigurable computing platforms.

Über die Autorin bzw. den Autor

Florent de Dinechin is a professor at INSA-Lyon, France. His research interests include computer architecture and compilation, hardware and software computer arithmetic, FPGA arithmetic and FPGA computing at large, floating-point, formal proof for arithmetic algorithms, elementary function evaluation, and digital signal processing. He authored more than 100 international peer-reviewed publications and was the general chair of the International Symposium on Computer Arithmetic in 2022. 

Martin Kumm is a professor at Fulda University of Applied Sciences, Germany. His research focus is arithmetic circuits and their optimization, design automation, machine learning, and digital signal processing, all with particular emphasis on reconfigurable systems. He is the author or coauthor of more than 60 peer-reviewed publications.

Together they develop the open-source FloPoCo arithmetic core generator, a project launched in 2008 which received the community award of the International Conference on Field Programmable Logic and Application in 2017.