Task Parallelism In Shared-memory Systems
Task Parallelism in Shared-Memory Systems is a parallel computing paradigm that enables the concurrent execution of discrete tasks on a shared-memory architecture, where multiple processing units access and manipulate shared data while coordinating task scheduling and synchronization to minimize dependencies and race conditions.
88
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3.8K
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251
Authors
127
Institutions
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2017–2026
13
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University of North Carolina at Chapel Hill, United States
3 publications · 188 citations
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École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
11 publications
528 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
7 publications
260 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
7 publications
222 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
6 publications
376 citations

Rice University
Houston, United States
3 h-index
17 publications
1.1K citations

Barcelona Supercomputing Center
Barcelona, Spain
3 h-index
14 publications
246 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
9 publications
210 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
14 publications
246 citations
1–8 of 127
TPDS · 5 publications · 224 citations
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3 publications · 45 citations
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2 publications · 39 citations
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2 publications · 148 citations
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2 publications · 39 citations
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