Shared-Memory Debugging is a debugging methodology specifically designed to detect, localize, and resolve concurrency-related defects in programs that execute across multiple threads or processes interacting through a shared address space, distinguished by its focus on anomalies arising from thread interleaving, race conditions, and memory visibility issues inherent to shared-memory parallelism.
13
Publications
862
Citations
28
Authors
13
Institutions
Publications per year
2017–2026
0
Publications
13
1–5 of 13
Authors
28
- RH
2
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- RB
2
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- MX
2
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- TG
1
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- CX
1
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1–5 of 28
Institutions
13
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
556 citations
Brown University
Providence, United States
2 h-index
2 publications
196 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
278 citations
University of California San Diego
San Diego, United States
1 h-index
2 publications
302 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
1 publications
151 citations
Delft University of Technology
Delft, The Netherlands
1 h-index
2 publications
56 citations
Mitre (United States)
Bedford, United States
1 h-index
1 publications
10 citations
Encore Pharmaceuticals (United States)
Riverside, United States
1 h-index
3 publications
57 citations
1–8 of 13
Venues
- ACM SIGPLAN Notices
2 publications · 166 citations
2
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- ACM SIGARCH Computer Architecture News
1 publications · 19 citations
1
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1–2