Floating-Point Instructions is a class of machine-level operations within an Instruction Set Architecture that enables the processing of real numbers by defining specific computational actions for arithmetic, conversion, and comparison tasks involving floating-point representations according to a standardized numerical format.
217
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12.6K
Citations
703
Authors
175
Institutions
Publications per year
2017–2026
21
Variants
Floating Point Instructions
Parents
Publications
217
Laurent Fousse, Guillaume Hanrot, Vincent Lefèvre et al. · ACM Transactions on Mathematical Software · 2007 · 915 citations
Richard M. Russell · Communications of the ACM · 1978 · 697 citations · Full text
Improving the speed of neural networks on CPUs
Vincent Vanhoucke, Andrew Senior, M. Mao · 2011 · 677 citations
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703
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1–5 of 703
Institutions
175
IBM (United States)
Armonk, United States
14 h-index
47 publications
1.9K citations
Stanford University
Stanford, United States
9 h-index
16 publications
1.3K citations
Intel (United States)
Santa Clara, United States
9 h-index
22 publications
825 citations
University of Wisconsin–Madison
Madison, United States
8 h-index
17 publications
778 citations
Université Paris-Sud
Orsay, France
7 h-index
16 publications
339 citations
IBM (Germany)
Böblingen, Germany
7 h-index
17 publications
854 citations
Centre National de la Recherche Scientifique
Paris, France
7 h-index
12 publications
414 citations
University of California, Berkeley
Berkeley, United States
6 h-index
13 publications
709 citations
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Venues
- IBM Journal of Research and Development
12 publications · 661 citations
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- IEEE Transactions on Computers
11 publications · 579 citations
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- IEEE Micro
10 publications · 472 citations
10
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- ACM SIGPLAN Notices
5 publications · 468 citations
5
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- ACM Transactions on Architecture and Code Optimization
TACO · 4 publications · 99 citations
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