Parallel Task Scheduling is a task scheduling paradigm that belongs to the broader class of task scheduling problems, distinguished by its focus on efficiently allocating interdependent tasks capable of concurrent execution to parallel processing resources in order to optimize performance metrics such as makespan or resource utilization.
426
Publications
21.2K
Citations
957
Authors
458
Institutions
Publications per year
2017–2026
67
Parents
Publications
426
1–5 of 426
Authors
957
- DT
10
h-index
- FS
8
h-index
- HC
7
h-index
- KJ
7
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- YK
6
h-index
1–5 of 957
Institutions
458
Centre National de la Recherche Scientifique
Paris, France
13 h-index
38 publications
873 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
10 h-index
15 publications
390 citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
9 h-index
13 publications
564 citations
École Normale Supérieure de Lyon
Lyon, France
8 h-index
13 publications
244 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
15 publications
772 citations
Poznań University of Technology
Poznan, Poland
7 h-index
15 publications
740 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
7 h-index
18 publications
756 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
7 h-index
11 publications
540 citations
1–8 of 458
Venues
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 14 publications · 1.1K citations
14
h-index
- Computers & Operations Research
11 publications · 514 citations
11
h-index
- Computers & Industrial Engineering
9 publications · 379 citations
9
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- Journal of Parallel and Distributed Computing
8 publications · 590 citations
8
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- Discrete Applied Mathematics
8 publications · 551 citations
8
h-index
1–5