Task Parallelism In Distributed Memory Systems
Task Parallelism in Distributed Memory Systems is a computational paradigm that allocates independent tasks to distinct processors in a distributed memory environment, where each processor executes its assigned task on locally stored data without shared memory access, thereby emphasizing inter-process communication for coordination and data exchange.
43
Publications
4K
Citations
106
Authors
44
Institutions
Publications per year
2017–2026
1
Parents
43
Parallel and distributed computing handbook
Choice Reviews Online · 1996 · 257 citations
SWEB: towards a scalable World Wide Web server on multicomputers
Daniel Andresen, Tao Yang, V. Holmedahl et al. · 2002 · 127 citations
Parallel computing (2nd ed.): theory and practice
Michael J. Quinn · 1994 · 119 citations
1–5 of 43
106
6
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 106
44
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
12 publications
674 citations
Martin Luther University Halle-Wittenberg
Halle, Germany
2 h-index
2 publications
30 citations
Intel (United States)
Santa Clara, United States
2 h-index
10 publications
310 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
5 publications
79 citations
North Carolina State University
Raleigh, United States
2 h-index
2 publications
95 citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
124 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
99 citations

Linköping University
Linköping, Sweden
1 h-index
1 publications
23 citations
1–8 of 44
4 publications · 97 citations
4
h-index
TPDS · 3 publications · 176 citations
3
h-index
2 publications · 74 citations
2
h-index
2 publications · 35 citations
2
h-index
1 publications · 38 citations
1
h-index
1–5