Parallel I/O Scheduling is a method in input/output management that orchestrates concurrent data transfer operations across multiple processing units or storage devices to enhance throughput and reduce latency by exploiting parallelism in I/O requests.
61
Publications
1.9K
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177
Authors
82
Institutions
Publications per year
2017–2026
11
Parents
Publications
61
Remzi H. Arpaci-Dusseau, Eric Anderson, Noah Treuhaft et al. · 1999 · 175 citations · Full text
Optimal disk I/O with parallel block transfer
Jeffrey Scott Vitter, Elizabeth Shriver · 1990 · 59 citations · Full text
1–5 of 61
Authors
177
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1–5 of 177
Institutions
82
Argonne National Laboratory
Lemont, United States
7 h-index
12 publications
566 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
18 publications
290 citations
Rice University
Houston, United States
5 h-index
7 publications
159 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
7 publications
388 citations
Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
11 publications
369 citations
Pennsylvania State University
State College, United States
3 h-index
5 publications
200 citations
The University of Texas at Austin
Austin, United States
2 h-index
6 publications
234 citations
Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
5 publications
108 citations
1–8 of 82
Venues
- Journal of Parallel and Distributed Computing
5 publications · 136 citations
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- Parallel Computing
3 publications · 57 citations
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- Journal of Computer Science and Technology
2 publications · 54 citations
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- IEEE Transactions on Parallel and Distributed Systems
TPDS · 2 publications · 72 citations
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- ACM SIGARCH Computer Architecture News
2 publications · 25 citations
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