Target Machine Modeling
Target Machine Modeling is a formal framework that specifies the structural, behavioral, and resource characteristics of a hardware architecture to enable accurate code generation, optimization, and performance prediction in compiler back ends.
17
Publications
537
Citations
35
Authors
22
Institutions
Publications per year
2017–2026
2
Variants
Target Architecture Modeling
Parents
17
Semantics-directed machine architecture
Mitchell Wand · 1982 · 73 citations · Full text
Andreas Klöckner · 2014 · 50 citations · Full text
Worst case timing analysis of RISC processors: R3000/R3010 case study
Y. Hur, Young Hyun Bae, Sung-Soo Lim et al. · 2002 · 41 citations
1–5 of 17
35
2
h-index
2
h-index
2
h-index
2
h-index
2
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1–5 of 35
22
University of Southern California
Los Angeles, United States
3 h-index
7 publications
155 citations
Engineering Systems (United States)
Omaha, United States
2 h-index
5 publications
81 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
54 citations
AustriaTech (Austria)
Vienna, Austria
1 h-index
1 publications
35 citations

Ghent University
Ghent, Belgium
1 h-index
2 publications
22 citations
HRL Laboratories (United States)
Malibu, United States
1 h-index
1 publications
56 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
18 citations

Glenn Research Center
Cleveland, United States
1 h-index
1 publications
14 citations
1–8 of 22
Repository · 1 publications · 35 citations
1
h-index
1 publications · 30 citations
1
h-index
1 publications · 56 citations
1
h-index
1 publications · 76 citations
1
h-index
Repository · 1 publications · 14 citations
1
h-index
1–5