Access Pattern Optimization is a methodological framework within parallel file systems that enhances data access efficiency by systematically analyzing and adapting to recurring patterns of file access, thereby distinguishing itself from general performance tuning through its targeted focus on temporal, spatial, and workload-specific access characteristics.
209
Publications
8.9K
Citations
652
Authors
235
Institutions
Publications per year
2017–2026
29
Parents
Publications
209
Data sieving and collective I/O in ROMIO
Rajeev Thakur, William Gropp, Ewing Lusk · 1999 · 498 citations · Full text
Chris Ruemmler, John Wilkes · 1993 · 397 citations
1–5 of 209
Authors
652
- XS
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- RT
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- AC
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- YC
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- MK
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1–5 of 652
Institutions
235
Argonne National Laboratory
Lemont, United States
15 h-index
28 publications
2.8K citations
Illinois Institute of Technology
Chicago, United States
11 h-index
35 publications
1K citations
Pennsylvania State University
State College, United States
7 h-index
17 publications
331 citations
Oak Ridge National Laboratory
Oak Ridge, United States
7 h-index
36 publications
695 citations
Texas Tech University
Lubbock, United States
6 h-index
9 publications
187 citations
Northwestern University
Evanston, United States
6 h-index
13 publications
397 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
20 publications
1.3K citations
University of California, Berkeley
Berkeley, United States
5 h-index
17 publications
1.8K citations
1–8 of 235
Venues
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 9 publications · 223 citations
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- File and Storage Technologies
Conference · 3 publications · 205 citations
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- IEEE Transactions on Circuits and Systems for Video Technology
2 publications · 77 citations
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- ACM SIGARCH Computer Architecture News
2 publications · 280 citations
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- ACM SIGOPS Operating Systems Review
2 publications · 191 citations
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