Asynchronous Execution
Asynchronous Execution is a parallel execution model in which tasks or operations proceed without requiring immediate synchronization, enabling independent processing units to operate concurrently and thereby improving resource utilization and overall computational efficiency in GPU computing and parallel runtime systems.
301
Publications
14.4K
Citations
851
Authors
308
Institutions
Publications per year
2017–2026
61
301
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza et al. · arXiv (Cornell University) · 2016 · 1.7K citations · Full text
The parallel execution of DO loops
Leslie Lamport · Communications of the ACM · 1974 · 605 citations · Full text
1–5 of 301
851
4
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 851
308
Stanford University
Stanford, United States
9 h-index
25 publications
1.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
17 publications
617 citations
Microsoft (United States)
Redmond, United States
7 h-index
13 publications
309 citations

University of Manchester
Manchester, United Kingdom
6 h-index
10 publications
169 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
12 publications
557 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
14 publications
645 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
5 h-index
7 publications
305 citations
The Ohio State University
Columbus, United States
5 h-index
19 publications
522 citations
1–8 of 308
9 publications · 289 citations
9
h-index
Repository · 7 publications · 1.9K citations
7
h-index
TPDS · 5 publications · 211 citations
5
h-index
5 publications · 383 citations
5
h-index
4 publications · 370 citations
4
h-index
1–5