Handbook of Floating-Point Arithmetic

Handbook of Floating-Point Arithmetic
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Artikel-Nr:
9780817647056
Veröffentl:
2009
Einband:
eBook
Seiten:
572
Autor:
Jean-Michel Muller
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This handbook aims to provide a complete overview of modern floating-point arithmetic. This includes a detailed treatment of the current (IEEE-754) and next (preliminarily called IEEE-754R) standards for floating-point arithmetic.

Floating-point arithmetic is the most widely used way of implementing real-number arithmetic on modern computers. However, making such an arithmetic reliable and portable, yet fast, is a very difficult task. As a result, floating-point arithmetic is far from being exploited to its full potential. This handbook aims to provide a complete overview of modern floating-point arithmetic. So that the techniques presented can be put directly into practice in actual coding or design, they are illustrated, whenever possible, by a corresponding program.

The handbook is designed for programmers of numerical applications, compiler designers, programmers of floating-point algorithms, designers of arithmetic operators, and more generally, students and researchers in numerical analysis who wish to better understand a tool used in their daily work and research.

Introduction, Basic Definitions, and Standards.- Definitions and Basic Notions.- Floating-Point Formats and Environment.- Cleverly Using Floating-Point Arithmetic.- Basic Properties and Algorithms.- The Fused Multiply-Add Instruction.- Enhanced Floating-Point Sums, Dot Products, and Polynomial Values.- Languages and Compilers.- Implementing Floating-Point Operators.- Algorithms for the Five Basic Operations.- Hardware Implementation of Floating-Point Arithmetic.- Software Implementation of Floating-Point Arithmetic.- Elementary Functions.- Evaluating Floating-Point Elementary Functions.- Solving the Table Maker’s Dilemma.- Extensions.- Formalisms for Certifying Floating-Point Algorithms.- Extending the Precision.- Perspectives and Appendix.- Conclusion and Perspectives.- Appendix: Number Theory Tools for Floating-Point Arithmetic.

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