High-precision floating-point arithmetic in scientific computation

IEEE 64-bit floating-point arithmetic is sufficient for most scientific applications, but a rapidly growing body of scientific computing applications requires a higher level of numeric precision. Software packages have yielded interesting scientific results that suggest numeric precision in scientif...

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Veröffentlicht in:Computing in science & engineering Jg. 7; H. 3; S. 54 - 61
1. Verfasser: Bailey, D.H.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2005
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Application software
Arithmetic
climate modeling
Computation
computational chemistry
computational physics
Data structures
experimental mathematics
Floating point arithmetic
High level languages
High performance computing
high-precision arithmetic
Mathematical models
Mathematics
Packaging
Personal communication networks
quantum theory
Software algorithms
Software packages
Software performance
ISSN:1521-9615, 1558-366X
Online-Zugang:Volltext
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Zusammenfassung:IEEE 64-bit floating-point arithmetic is sufficient for most scientific applications, but a rapidly growing body of scientific computing applications requires a higher level of numeric precision. Software packages have yielded interesting scientific results that suggest numeric precision in scientific computations could be as important to program design as algorithms and data structures.
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ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2005.52