Parallel Data Access Patterns is a computational framework that characterizes the structured methods by which multiple processing units simultaneously read from or write to shared or distributed storage resources, distinguished by their synchronization mechanisms, data locality strategies, and access granularity in parallel computing environments.
171
Publications
37.5K
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477
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159
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Publications per year
2017–2026
13
Parents
Publications
171
Data sieving and collective I/O in ROMIO
Rajeev Thakur, William Gropp, Ewing Lusk · 1999 · 498 citations · Full text
Jianwei Li, Wei‐keng Liao, Alok Choudhary et al. · 2003 · 407 citations
1–5 of 171
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477
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- RT
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1–5 of 477
Institutions
159
Argonne National Laboratory
Lemont, United States
17 h-index
54 publications
4.9K citations
Northwestern University
Evanston, United States
10 h-index
30 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
23 publications
855 citations
Sandia National Laboratories
Albuquerque, United States
8 h-index
18 publications
529 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
8 h-index
23 publications
1.6K citations
University of Maryland, College Park
College Park, United States
7 h-index
21 publications
709 citations
Pennsylvania State University
State College, United States
7 h-index
21 publications
497 citations
Illinois Institute of Technology
Chicago, United States
6 h-index
21 publications
706 citations
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Venues
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 7 publications · 345 citations
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- Scientific Programming
5 publications · 245 citations
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- The International Journal of High Performance Computing Applications
4 publications · 247 citations
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- IEEE Transactions on Computers
4 publications · 76 citations
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- ACM SIGOPS Operating Systems Review
3 publications · 48 citations
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