Parallel Thread Scheduling
Parallel Thread Scheduling is a GPU execution model mechanism that organizes and manages concurrent thread execution by assigning groups of threads to processing units in a way that maximizes resource utilization and minimizes idle cycles through fine-grained context switching.
26
Publications
1.2K
Citations
92
Authors
42
Institutions
Publications per year
2017–2026
9
26
Improving GPU performance via large warps and two-level warp scheduling
Veynu Narasiman, Michael Shebanow, Chang Joo Lee et al. · 2011 · 419 citations
Hang Liu, H. Howie Huang · 2015 · 161 citations · Full text
A case for core-assisted bottleneck acceleration in GPUs
Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog et al. · 2015 · 100 citations
Scheduling Page Table Walks for Irregular GPU Applications
Seunghee Shin, Guilherme Cox, Mark Oskin et al. · 2018 · 59 citations
1–5 of 26
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42
Carnegie Mellon University
Pittsburgh, United States
4 h-index
17 publications
1.2K citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
8 publications
180 citations
Seattle University
Seattle, United States
2 h-index
2 publications
45 citations

Pennsylvania State University
State College, United States
2 h-index
6 publications
339 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
45 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
37 citations
Nvidia (United Kingdom)
Reading, United Kingdom
1 h-index
1 publications
419 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
26 citations
1–8 of 42
1 publications · 25 citations
1
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CAGEO · 1 publications · 62 citations
1
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1 publications · 12 citations
1
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Repository · 1 publications · 11 citations
1
h-index
1 publications · 15 citations
1
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