Datapath Generation
Datapath Generation is a methodological construct in computer architecture that specifies the automated synthesis of data-handling pathways within a processing unit to enable efficient execution of computational operations according to a given instruction set.
178
Publications
6.5K
Citations
481
Authors
160
Institutions
Publications per year
2017–2026
25
Parents
178
1–5 of 178
481
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160
Carnegie Mellon University
Pittsburgh, United States
10 h-index
31 publications
2.5K citations
Intel (United States)
Santa Clara, United States
9 h-index
23 publications
836 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
6 publications
101 citations
University of Michigan
Ann Arbor, United States
6 h-index
15 publications
816 citations
University of Utah
Salt Lake City, United States
5 h-index
12 publications
223 citations
RWTH Aachen University
Aachen, Germany
5 h-index
15 publications
479 citations
The University of Texas at Austin
Austin, United States
5 h-index
13 publications
350 citations
University of California, Irvine
Irvine, United States
5 h-index
8 publications
233 citations
1–8 of 160
9 publications · 1K citations
9
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6 publications · 284 citations
6
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4 publications · 312 citations
4
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Conference · 2 publications · 87 citations
2
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JETTA · 2 publications · 36 citations
2
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1–5