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Next Generation Arithmetic : 5th International Conference, CoNGA 2024, Sydney, NSW, Australia, February 20–21, 2024, Proceedings / / edited by Marek Michalewicz, John Gustafson, Himeshi De Silva



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Autore: Michalewicz Marek Visualizza persona
Titolo: Next Generation Arithmetic : 5th International Conference, CoNGA 2024, Sydney, NSW, Australia, February 20–21, 2024, Proceedings / / edited by Marek Michalewicz, John Gustafson, Himeshi De Silva Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (133 pages)
Disciplina: 004.01513
Soggetto topico: Computer arithmetic and logic units
Arithmetic and Logic Structures
Altri autori: GustafsonJohn  
De SilvaHimeshi  
Nota di contenuto: Papers -- Beating Posits at Their Own Game Takum Arithmetic -- Breaking New Ground in AI with Posit Arithmetic and Vision Transformer -- Iterative Refinement with Mixed Precision Posit Arithmetic -- Adaptive Interval Segmentation An Algorithmic Approach for Optimal SORN Datatypes -- Unleashing Simple Pendulum Dynamics with Posit Arithmetic.
Sommario/riassunto: This book constitutes the refereed post-conference proceedings of the 5th International Conference for Next Generation Arithmetic, CoNGA 2024, held in Sydney, NSW, Australia, during February 20–21, 2024. The 5 revised full papers presented were carefully selected from 9 submissions. CoNGA is the leading conference on emerging technologies for computer arithmetic. The demands of both AI and HPC have led the community to realize that something better than traditional floating-point arithmetic is needed to reach the speed, accuracy, and energy-efficiency that are needed for today's most challenging workloads. In particular, posit arithmetic is achieving rapid adoption as a non-proprietary format, but CoNGA welcomes papers about any arithmetic format that breaks from the past and shows merit and promise.
Titolo autorizzato: Next Generation Arithmetic  Visualizza cluster
ISBN: 3-031-72709-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910897974503321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14666