Functional Parallel Programming
Functional Parallel Programming is a parallel programming model that employs functional programming principles—such as immutability, pure functions, and higher-order functions—to enable implicit and deterministic parallelism by minimizing side effects and facilitating decomposition of computations into independent tasks.
108
Publications
37K
Citations
231
Authors
112
Institutions
Publications per year
2017–2026
11
Parents
108
1–5 of 108
231
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112
Carnegie Mellon University
Pittsburgh, United States
9 h-index
23 publications
1.3K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
7 h-index
13 publications
935 citations
Intel (United States)
Santa Clara, United States
6 h-index
6 publications
203 citations

University of Glasgow
Glasgow, United Kingdom
5 h-index
14 publications
1.5K citations

University of St Andrews
St Andrews, United Kingdom
4 h-index
6 publications
350 citations
University of Chicago
Chicago, United States
4 h-index
11 publications
483 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
8 publications
609 citations
Argonne National Laboratory
Lemont, United States
3 h-index
14 publications
4.1K citations
1–8 of 112
9 publications · 652 citations
9
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7 publications · 177 citations
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5 publications · 119 citations
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4 publications · 139 citations
4
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PACMPL · 3 publications · 62 citations
3
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1–5