Prefetching Mechanisms

Prefetching Mechanisms is a hardware-software cooperative technique in GPU memory systems that predicts and retrieves data or instructions from memory prior to their explicit demand by execution units, thereby reducing memory latency and improving throughput.

727

Publications

38.7K

Citations

1.5K

Authors

411

Institutions

Publications per year

2017–2026

121

Authors

1.5K

  1. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    16 publications · 1.5K citations

    15

    h-index

  2. YN
    Yale N. Patt

    The University of Texas at Austin, United States

    17 publications · 1.7K citations

    15

    h-index

  3. XS
    Xian‐He Sun

    Illinois Institute of Technology, United States

    13 publications · 576 citations

    13

    h-index

  4. TC
    Todd C. Mowry

    Carnegie Mellon University, United States

    13 publications · 1.4K citations

    13

    h-index

  5. BC
    Brad Calder

    University of California San Diego, United States

    12 publications · 845 citations

    12

    h-index

1–5 of 1.5K

Venues

  1. IEEE Transactions on Computers

    21 publications · 1.3K citations

    17

    h-index

  2. ACM SIGARCH Computer Architecture News

    23 publications · 1K citations

    17

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 14 publications · 590 citations

    13

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 12 publications · 468 citations

    12

    h-index

  5. ACM SIGPLAN Notices

    11 publications · 206 citations

    11

    h-index

1–5