The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
What every computer scientist should know about floating-point arithmetic
Abstract
Floating-point arithmetic is considered as esoteric subject by many people. This is rather surprising, because floating-point is ubiquitous in computer systems: Almost every language has a floating-point datatype; computers from PCs to supercomputers have floating-point accelerators; most compilers will be called upon to compile floating-point algorithms from time to time; and virtually every operating system must respond to floating-point exceptions such as overflow. This paper presents a tutorial on the aspects of floating-point that have a direct impact on designers of computer systems. It begins with background on floating-point representation and rounding error, continues with a discussion of the IEEE floating point standard, and concludes with examples of how computer system builders can better support floating point.
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Cites
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
Cited by
Paxton, B., Schwab, J., Bauer, E. B., Bildsten, L., Blinnikov, S., Duffell, P., Farmer, R., Goldberg, J. A., Marchant, P., Sorokina, E., et al. (2018) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/aaa5a8 · Cited by 2,121
Searching and mining trillions of time series subsequences under dynamic time warping
Rakthanmanon, T., Campana, B., Mueen, A., Batista, G., Westover, B., Zhu, Q., Zakaria, J., & Keogh, E. (2012) · Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2339530.2339576 · Cited by 1,047
Blanchet, B., Cousot, P., Cousot, R., Feret, J., Mauborgne, L., Miné, A., Monniaux, D., & Rival, X. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-36377-7_5 · Cited by 202
Deep learning library testing via effective model generation
Wang, Z., Yan, M., Chen, J., Liu, S., & Zhang, D. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering · doi:10.1145/3368089.3409761 · Cited by 167
Relational Abstract Domains for the Detection of Floating-Point Run-Time Errors
Miné, A. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24725-8_2 · Cited by 147
Metadata
- Authors
- Goldberg, D.
- Venue
- ACM Computing Surveys
- Published
- 1991-03
- Volume
- 23
- Issue
- 1
- Pages
- 5-48
- ISSN
- 0360-0300 (ISSN-L)
- 1557-7341
- OpenAlex
- W2169004268
- Cited by
- 1,750
- References
- 1
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- Goldberg, D. (1991). What every computer scientist should know about floating-point arithmetic. ACM Computing Surveys. https://doi.org/10.1145/103162.103163
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
