Machine Code Generation
Machine Code Generation is the computational process of automatically producing low-level, hardware-executable instructions from high-level design specifications or intermediate representations within the pipeline of digital fabrication systems.
242
Publications
16K
Citations
685
Authors
204
Institutions
Publications per year
2017–2026
50
Parents
242
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin et al. · arXiv (Cornell University) · 2022 · 2.1K citations · Full text
Siu Kwan Lam, Antoine Pitrou, Stanley Seibert · 2015 · 1.5K citations
Optimizing supercompilers for supercomputers
Michael Wolfe · 2020 · 840 citations
Cristian Diaconu, Craig Freedman, Erik Ismert et al. · 2013 · 469 citations
1–5 of 242
685
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204
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
11 publications
1.2K citations
Oracle (United States)
Austin, United States
7 h-index
12 publications
896 citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
10 publications
699 citations
Palo Alto Research Center
Palo Alto, United States
6 h-index
16 publications
425 citations
University of California, Berkeley
Berkeley, United States
6 h-index
9 publications
568 citations

TU Wien
Vienna, Austria
6 h-index
13 publications
413 citations

Rice University
Houston, United States
5 h-index
15 publications
818 citations
IBM (United States)
Armonk, United States
5 h-index
38 publications
2.5K citations
1–8 of 204
12 publications · 229 citations
11
h-index
Repository · 7 publications · 2.4K citations
7
h-index
5 publications · 337 citations
5
h-index
4 publications · 281 citations
4
h-index
3 publications · 339 citations
3
h-index
1–5