Data Prefetching

Data Prefetching is a performance optimization technique in parallel input/output systems that speculatively retrieves data from storage into memory before it is explicitly requested, thereby reducing latency by overlapping data transfer with computation.

412

Publications

20.5K

Citations

1.1K

Authors

347

Institutions

Publications per year

2017–2026

62

Authors

1.1K

  1. XS
    Xian‐He Sun

    Illinois Institute of Technology, United States

    10 publications · 405 citations

    10

    h-index

  2. BF
    Babak Falsafi

    Carnegie Mellon University, United States

    8 publications · 588 citations

    8

    h-index

  3. PY
    Pen-Chung Yew

    University of Minnesota, United States

    7 publications · 273 citations

    7

    h-index

  4. YC
    Yong Chen

    Texas Tech University, United States

    7 publications · 352 citations

    7

    h-index

  5. EH
    Edward H. Gornish

    University of Illinois Urbana-Champaign, United States

    6 publications · 312 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. ACM SIGARCH Computer Architecture News

    10 publications · 254 citations

    10

    h-index

  2. IEEE Transactions on Computers

    7 publications · 730 citations

    7

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 128 citations

    6

    h-index

  4. ACM SIGPLAN Notices

    6 publications · 104 citations

    6

    h-index

  5. IEEE Computer Architecture Letters

    5 publications · 119 citations

    4

    h-index

1–5