I/o Optimization

I/O Optimization is a performance tuning technique that specifically targets the reduction of input/output operations' latency and overhead by optimizing data access patterns, storage layout, and transfer mechanisms within data movement systems.

91

Publications

4.4K

Citations

266

Authors

89

Institutions

Publications per year

2017–2026

15

Authors

266

  1. RT
    Rajeev Thakur

    Argonne National Laboratory, United States

    13 publications · 1.6K citations

    13

    h-index

  2. AC
    Alok Choudhary

    Northwestern University, United States

    8 publications · 306 citations

    8

    h-index

  3. WG
    William Gropp

    Argonne National Laboratory, United States

    7 publications · 1.3K citations

    7

    h-index

  4. RR
    Robert Ross

    Argonne National Laboratory, United States

    6 publications · 312 citations

    6

    h-index

  5. WL
    Wei‐keng Liao

    Northwestern University, United States

    6 publications · 147 citations

    6

    h-index

1–5 of 266

Venues

  1. 3

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 333 citations

    3

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 84 citations

    2

    h-index

  5. ACM SIGARCH Computer Architecture News

    2 publications · 23 citations

    2

    h-index

1–5