Memory Access Pattern Analysis is a systematic method within memory hierarchy optimization that characterizes and evaluates the temporal and spatial locality of memory references by applications to inform architectural design and performance tuning.
164
Publications
8.3K
Citations
465
Authors
171
Institutions
Publications per year
2017–2026
33
Publications
164
Mohammad Nauman, Sohail Khan, Xinwen Zhang · 2010 · 532 citations
S12---The HPC Challenge (HPCC) benchmark suite
Piotr Łuszczek, David H. Bailey, Jack Dongarra et al. · 2006 · 321 citations
Chin‐Wan Chung, Jun‐Ki Min, Kyuseok Shim · 2002 · 281 citations
1–5 of 164
Authors
465
- XL
5
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- YP
4
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- BF
4
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- ND
4
h-index
- JS
3
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1–5 of 465
Institutions
171
Intel (United States)
Santa Clara, United States
8 h-index
10 publications
423 citations
Seoul National University
Seoul, South Korea
8 h-index
17 publications
609 citations
Carnegie Mellon University
Pittsburgh, United States
8 h-index
24 publications
1.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
8 publications
308 citations
University of California San Diego
San Diego, United States
5 h-index
14 publications
446 citations
Argonne National Laboratory
Lemont, United States
5 h-index
14 publications
1.5K citations
Oak Ridge National Laboratory
Oak Ridge, United States
5 h-index
11 publications
620 citations
Stanford University
Stanford, United States
5 h-index
10 publications
670 citations
1–8 of 171
Venues
- ACM SIGARCH Computer Architecture News
5 publications · 319 citations
5
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- IEEE Transactions on Computers
2 publications · 93 citations
2
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- Communications of the ACM
2 publications · 131 citations
2
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- ACM SIGPLAN Notices
2 publications · 23 citations
2
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- Design, Automation, and Test in Europe
Conference · 2 publications · 34 citations
2
h-index
1–5