Thread-level Parallelism
Thread-Level Parallelism is a parallel programming model that enables concurrent execution of multiple threads within a shared-memory multiprocessing environment by explicitly dividing a program into discrete, independently schedulable threads that operate on a common address space.
401
Publications
23.4K
Citations
1.1K
Authors
269
Institutions
Publications per year
2017–2026
50
401
Analyzing CUDA workloads using a detailed GPU simulator
Ali Bakhoda, George L. Yuan, Wilson Wai Lun Fung et al. · 2009 · 1.7K citations
Data speculation support for a chip multiprocessor
Lance Hammond, Mark Willey, Kunle Olukotun · 1998 · 420 citations
Simultaneous multithreading: a platform for next-generation processors
Susan J. Eggers, Joel Emer, Henry M. Levy et al. · IEEE Micro · 1997 · 407 citations
Synergistic Processing in Cell's Multicore Architecture
Michael Gschwind, H. Peter Hofstee, B. Flachs et al. · IEEE Micro · 2006 · 406 citations
1–5 of 401
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269
Intel (United States)
Santa Clara, United States
25 h-index
130 publications
7.7K citations
Universitat Politècnica de Catalunya
Barcelona, Spain
23 h-index
122 publications
5.8K citations
University of Michigan
Ann Arbor, United States
13 h-index
47 publications
3K citations
Stanford University
Stanford, United States
12 h-index
44 publications
4.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
35 publications
2.1K citations
University of California San Diego
San Diego, United States
11 h-index
20 publications
3.9K citations
Hewlett-Packard (United States)
Palo Alto, United States
11 h-index
23 publications
4K citations

Barcelona Supercomputing Center
Barcelona, Spain
10 h-index
32 publications
856 citations
1–8 of 269
TPDS · 18 publications · 759 citations
15
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13 publications · 997 citations
11
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9 publications · 736 citations
9
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9 publications · 1.6K citations
9
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8 publications · 321 citations
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