Loop Parallelization
Loop Parallelization is a parallel programming technique that decomposes iterations of a loop into concurrently executable tasks, enabling simultaneous execution across multiple processing units to improve computational performance.
425
Publications
21.7K
Citations
825
Authors
274
Institutions
Publications per year
2017–2026
34
Parents
425
Jonathan Ragan‐Kelley, Connelly Barnes, Andrew Adams et al. · 2013 · 895 citations
The parallel execution of DO loops
Leslie Lamport · Communications of the ACM · 1974 · 605 citations · Full text
Jonathan Ragan‐Kelley, Connelly Barnes, Andrew Adams et al. · ACM SIGPLAN Notices · 2013 · 490 citations · Full text
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825
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Institut national de recherche en sciences et technologies du numérique, France
10 publications · 697 citations
10
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10
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1–5 of 825
274
University of Illinois Urbana-Champaign
Urbana, United States
24 h-index
85 publications
5K citations
Stanford University
Stanford, United States
15 h-index
37 publications
4.5K citations

Rice University
Houston, United States
14 h-index
36 publications
3.3K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
13 h-index
34 publications
2.9K citations
Texas A&M University
College Station, United States
11 h-index
22 publications
1.2K citations
IBM (United States)
Armonk, United States
11 h-index
25 publications
1.1K citations
National Center for Supercomputing Applications
Urbana, United States
10 h-index
31 publications
1.5K citations

University of Passau
Passau, Germany
10 h-index
25 publications
1.2K citations
1–8 of 274
TPDS · 24 publications · 2.2K citations
18
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21 publications · 1.3K citations
16
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14 publications · 1.3K citations
13
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TACO · 8 publications · 125 citations
8
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7 publications · 430 citations
7
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