Heterogeneous Parallel Programming
Heterogeneous Parallel Programming is a computational methodology that orchestrates concurrent execution across diverse processing architectures, such as CPUs, GPUs, and FPGAs, by integrating distinct instruction sets and memory models to exploit the unique performance capabilities of each heterogeneous processing unit.
29
Publications
2.4K
Citations
88
Authors
43
Institutions
Publications per year
2017–2026
7
29
1–5 of 29
88
2
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1–5 of 88
43
Carnegie Mellon University
Pittsburgh, United States
3 h-index
10 publications
374 citations
Ministry of Water Resources of the People's Republic of China
Beijing, China
2 h-index
5 publications
111 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
5 publications
3K citations
Intel (United States)
Santa Clara, United States
2 h-index
4 publications
81 citations
China Institute of Water Resources and Hydropower Research
Beijing, China
2 h-index
6 publications
131 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
1 h-index
2 publications
56 citations

University of Oslo
Oslo, Norway
1 h-index
2 publications
34 citations
Pittsburgh Supercomputing Center
Pittsburgh, United States
1 h-index
1 publications
30 citations
1–8 of 43
2 publications · 60 citations
2
h-index
1 publications · 41 citations
1
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1 publications · 16 citations
1
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1 publications · 31 citations
1
h-index
1 publications · 24 citations
1
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1–5