Task Parallelism
Task Parallelism is a form of parallel computation in which a program is decomposed into multiple concurrent tasks (such as threads or processes) that may execute different operations on the same or different data and are scheduled to run in parallel on multiple processing elements, in contrast to data parallelism where identical operations are applied in parallel to disjoint data partitions.
1.4K
Publications
89.3K
Citations
3.2K
Authors
911
Institutions
Publications per year
2017–2026
200
1.4K
On data-limited and resource-limited processes
Donald A. Norman, Daniel G. Bobrow · Cognitive Psychology · 1975 · 2.4K citations
A Core System for the Implementation of Task Sets
Nico U.F. Dosenbach, Kristina Visscher, Erica D. Palmer et al. · Neuron · 2006 · 1.9K citations · Full text
Functional parallelism in spoken word-recognition
William D. Marslen‐Wilson · Cognition · 1987 · 1.8K citations
1–5 of 1.4K
3.2K
16
h-index
14
h-index
13
h-index
13
h-index
10
h-index
1–5 of 3.2K
911
Massachusetts Institute of Technology
Cambridge, United States
28 h-index
88 publications
14.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
23 h-index
69 publications
3.2K citations
IBM (United States)
Armonk, United States
21 h-index
48 publications
2.9K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
20 h-index
159 publications
7.8K citations
Carnegie Mellon University
Pittsburgh, United States
20 h-index
58 publications
6.9K citations

Barcelona Supercomputing Center
Barcelona, Spain
18 h-index
140 publications
7.4K citations
Argonne National Laboratory
Lemont, United States
18 h-index
71 publications
5.6K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
60 publications
1.7K citations
1–8 of 911
TPDS · 30 publications · 2.5K citations
24
h-index
33 publications · 1.8K citations
22
h-index
22 publications · 2.5K citations
19
h-index
19 publications · 2.2K citations
15
h-index
19 publications · 508 citations
13
h-index
1–5