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Handbook of floating-point arithmetic

This handbook is a definitive guide to the effective use of modern floating-point arithmetic, which has considerably evolved, from the frequently inconsistent floating-point number systems of early computing to the recent IEEE 754-2008 standard. Most of computational mathematics depends on floating-...

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Detalles Bibliográficos
Autores principales: Muller, Jean-Michel, Brunie, Nicolas, de Dinechin, Florent, Jeannerod, Claude-Pierre, Joldes, Mioara, Lefèvre, Vincent, Melquiond, Guillaume, Revol, Nathalie, Torres, Serge
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-76526-6
http://cds.cern.ch/record/2622013
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author Muller, Jean-Michel
Brunie, Nicolas
de Dinechin, Florent
Jeannerod, Claude-Pierre
Joldes, Mioara
Lefèvre, Vincent
Melquiond, Guillaume
Revol, Nathalie
Torres, Serge
author_facet Muller, Jean-Michel
Brunie, Nicolas
de Dinechin, Florent
Jeannerod, Claude-Pierre
Joldes, Mioara
Lefèvre, Vincent
Melquiond, Guillaume
Revol, Nathalie
Torres, Serge
author_sort Muller, Jean-Michel
collection CERN
description This handbook is a definitive guide to the effective use of modern floating-point arithmetic, which has considerably evolved, from the frequently inconsistent floating-point number systems of early computing to the recent IEEE 754-2008 standard. Most of computational mathematics depends on floating-point numbers, and understanding their various implementations will allow readers to develop programs specifically tailored for the standard’s technical features. Algorithms for floating-point arithmetic are presented throughout the book and illustrated where possible by example programs which show how these techniques appear in actual coding and design. The volume itself breaks its core topic into four parts: the basic concepts and history of floating-point arithmetic; methods of analyzing floating-point algorithms and optimizing them; implementations of IEEE 754-2008 in hardware and software; and useful extensions to the standard floating-point system, such as interval arithmetic, double- and triple-word arithmetic, operations on complex numbers, and formal verification of floating-point algorithms. This new edition updates chapters to reflect recent changes to programming languages and compilers and the new prevalence of GPUs in recent years. The revisions also add material on fused multiply-add instruction, and methods of extending the floating-point precision. As supercomputing becomes more common, more numerical engineers will need to use number representation to account for trade-offs between various parameters, such as speed, accuracy, and energy consumption. The Handbook of Floating-Point Arithmetic is designed for students and researchers in numerical analysis, programmers of numerical algorithms, compiler designers, and designers of arithmetic operators. .
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institution Organización Europea para la Investigación Nuclear
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publishDate 2018
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spelling cern-26220132021-04-21T18:48:54Zdoi:10.1007/978-3-319-76526-6http://cds.cern.ch/record/2622013engMuller, Jean-MichelBrunie, Nicolasde Dinechin, FlorentJeannerod, Claude-PierreJoldes, MioaraLefèvre, VincentMelquiond, GuillaumeRevol, NathalieTorres, SergeHandbook of floating-point arithmeticMathematical Physics and MathematicsThis handbook is a definitive guide to the effective use of modern floating-point arithmetic, which has considerably evolved, from the frequently inconsistent floating-point number systems of early computing to the recent IEEE 754-2008 standard. Most of computational mathematics depends on floating-point numbers, and understanding their various implementations will allow readers to develop programs specifically tailored for the standard’s technical features. Algorithms for floating-point arithmetic are presented throughout the book and illustrated where possible by example programs which show how these techniques appear in actual coding and design. The volume itself breaks its core topic into four parts: the basic concepts and history of floating-point arithmetic; methods of analyzing floating-point algorithms and optimizing them; implementations of IEEE 754-2008 in hardware and software; and useful extensions to the standard floating-point system, such as interval arithmetic, double- and triple-word arithmetic, operations on complex numbers, and formal verification of floating-point algorithms. This new edition updates chapters to reflect recent changes to programming languages and compilers and the new prevalence of GPUs in recent years. The revisions also add material on fused multiply-add instruction, and methods of extending the floating-point precision. As supercomputing becomes more common, more numerical engineers will need to use number representation to account for trade-offs between various parameters, such as speed, accuracy, and energy consumption. The Handbook of Floating-Point Arithmetic is designed for students and researchers in numerical analysis, programmers of numerical algorithms, compiler designers, and designers of arithmetic operators. .Springeroai:cds.cern.ch:26220132018
spellingShingle Mathematical Physics and Mathematics
Muller, Jean-Michel
Brunie, Nicolas
de Dinechin, Florent
Jeannerod, Claude-Pierre
Joldes, Mioara
Lefèvre, Vincent
Melquiond, Guillaume
Revol, Nathalie
Torres, Serge
Handbook of floating-point arithmetic
title Handbook of floating-point arithmetic
title_full Handbook of floating-point arithmetic
title_fullStr Handbook of floating-point arithmetic
title_full_unstemmed Handbook of floating-point arithmetic
title_short Handbook of floating-point arithmetic
title_sort handbook of floating-point arithmetic
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-76526-6
http://cds.cern.ch/record/2622013
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