Heterogeneous Programming Models is a programming paradigm that enables the coordinated expression and management of computations across diverse processing elements—such as CPUs, GPUs, FPGAs, and accelerators—by providing unified abstractions, interfaces, and execution frameworks that integrate disparate architectural capabilities within a single system.
129
Publications
8K
Citations
471
Authors
136
Institutions
Publications per year
2017–2026
24
Publications
129
Alan S. Manne, Robert Mendelsohn, Richard Richels · Energy Policy · 1995 · 742 citations · Full text
Chi-Keung Luk, Sunpyo Hong, Hyesoon Kim · 2009 · 512 citations
Michael D. Linderman, Jamison D. Collins, Hong Wang et al. · 2008 · 280 citations
1–5 of 129
Authors
471
- KO
6
h-index
- DF
5
h-index
- AK
5
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- KJ
4
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- JS
4
h-index
1–5 of 471
Institutions
136
Stanford University
Stanford, United States
11 h-index
50 publications
6.9K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
8 h-index
26 publications
1.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
15 publications
4.1K citations
Intel (United States)
Santa Clara, United States
7 h-index
18 publications
1.6K citations
Rice University
Houston, United States
6 h-index
17 publications
709 citations
IBM (United States)
Armonk, United States
6 h-index
17 publications
881 citations
Oak Ridge National Laboratory
Oak Ridge, United States
5 h-index
19 publications
248 citations
Barcelona Supercomputing Center
Barcelona, Spain
5 h-index
12 publications
399 citations
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Venues
- ACM SIGPLAN Notices
6 publications · 126 citations
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- Concurrency Practice and Experience
3 publications · 215 citations
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- Scientific Programming
3 publications · 51 citations
3
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- IEEE Micro
3 publications · 143 citations
3
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- International Journal of Parallel Programming
2 publications · 89 citations
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1–5