Data Race Analysis
Data Race Analysis is a systematic method in parallel debugging that identifies and characterizes unintended concurrent memory accesses by multiple threads to shared data locations without proper synchronization, thereby distinguishing potential race conditions from benign or intentional parallel memory interactions.
383
Publications
27.3K
Citations
727
Authors
228
Institutions
Publications per year
2017–2026
63
Parents
383
Stefan Savage, Michael T. Burrows, Greg Nelson et al. · ACM Transactions on Computer Systems · 1997 · 1.6K citations · Full text
Cormac Flanagan, Stephen N. Freund · 2009 · 671 citations
Dawson Engler, Ken Ashcraft · ACM SIGOPS Operating Systems Review · 2003 · 664 citations
Type-based race detection for Java
Cormac Flanagan, Stephen N. Freund · 2000 · 446 citations
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228
Microsoft (United States)
Redmond, United States
19 h-index
39 publications
6.1K citations
University of Washington
Seattle, United States
18 h-index
43 publications
4.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
17 h-index
74 publications
4.3K citations
ETH Zurich
Zurich, Switzerland
15 h-index
32 publications
2.6K citations

Rice University
Houston, United States
13 h-index
42 publications
2.1K citations
University of Wisconsin–Madison
Madison, United States
13 h-index
34 publications
2.5K citations
University of Michigan
Ann Arbor, United States
12 h-index
34 publications
2.4K citations
The Ohio State University
Columbus, United States
12 h-index
42 publications
1.4K citations
1–8 of 228
47 publications · 2.7K citations
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PACMPL · 8 publications · 284 citations
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6 publications · 440 citations
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TPDS · 4 publications · 103 citations
4
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4 publications · 1K citations
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