Parallel Computation Mapping is a method for systematically assigning computational tasks and data to distributed processing nodes within a mesh network such that parallel execution efficiency, resource utilization, and inter-node communication overhead are optimized.
122
Publications
4.4K
Citations
343
Authors
137
Institutions
Publications per year
2017–2026
8
Parents
Publications
122
Bart Kienhuis, E. Rijpkema, E. Deprettere · 2000 · 170 citations
The Cactus Code: a problem solving environment for the grid
Gabrielle Allen, Werner Benger, Tom Goodale et al. · 2002 · 115 citations
1–5 of 122
Authors
343
- AB
7
h-index
- LVLaxmikant V. Kalé
University of Illinois Urbana-Champaign, United States
5 publications · 208 citations
5
h-index
- YR
4
h-index
- DM
3
h-index
- DR
3
h-index
1–5 of 343
Institutions
137
Carnegie Mellon University
Pittsburgh, United States
6 h-index
17 publications
702 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
14 publications
582 citations
École Normale Supérieure de Lyon
Lyon, France
5 h-index
12 publications
210 citations
Leiden University
Leiden, The Netherlands
4 h-index
10 publications
474 citations
Indian Institute of Science Bangalore
Bengaluru, India
4 h-index
9 publications
217 citations
University of Southern California
Los Angeles, United States
4 h-index
7 publications
172 citations
IBM (United States)
Armonk, United States
3 h-index
5 publications
342 citations
William & Mary
Williamsburg, United States
3 h-index
4 publications
189 citations
1–8 of 137
Venues
- IEEE Transactions on Computers
7 publications · 514 citations
7
h-index
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 6 publications · 132 citations
6
h-index
- Concurrency Practice and Experience
3 publications · 45 citations
3
h-index
- Journal of Parallel and Distributed Computing
3 publications · 55 citations
3
h-index
- Proceedings of the International Conference on Parallel Processing
Conference · 3 publications · 67 citations
3
h-index
1–5