Granularity Control
Granularity Control is a method in task parallelism that determines the optimal decomposition of tasks into subtasks by regulating the size and scope of individual computational units to balance overhead and parallel efficiency.
425
Publications
26.9K
Citations
4.2K
Authors
630
Institutions
Publications per year
2017–2026
119
Parents
425
Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis et al. · 2011 · 1.9K citations
Prioritizing test cases for regression testing
Gregg Rothermel, R.H. Untch, Chengyun Chu et al. · IEEE Transactions on Software Engineering · 2001 · 1.3K citations
Computing, Systems Engineering, Experimental Performance +11
Three-way decision and granular computing
Yiyu Yao · International Journal of Approximate Reasoning · 2018 · 593 citations
Granularity in software product lines
Christian Kästner, Sven Apel, Martin Kuhlemann · 2008 · 495 citations
1–5 of 425
4.2K
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Chongqing University of Posts and Telecommunications, China
9 publications · 736 citations
9
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6
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6
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1–5 of 4.2K
630

University of Alberta
Edmonton, Canada
22 h-index
53 publications
3.5K citations

University of Regina
Regina, Canada
17 h-index
27 publications
2.5K citations

Polish Academy of Sciences
Warsaw, Poland
15 h-index
16 publications
1.4K citations
Systems Research Institute
Warsaw, Poland
14 h-index
14 publications
1.3K citations

King Abdulaziz University
Jeddah, Saudi Arabia
11 h-index
14 publications
814 citations
University of Arizona
Tucson, United States
9 h-index
27 publications
1.3K citations
Chongqing University of Posts and Telecommunications
Chongqing, China
9 h-index
34 publications
3.1K citations

Xidian University
Xi'an, China
8 h-index
20 publications
649 citations
1–8 of 630
13 publications · 1K citations
12
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11 publications · 1.2K citations
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Repository · 9 publications · 553 citations
9
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TFS · 10 publications · 631 citations
9
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8 publications · 345 citations
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1–5