Simd Execution

SIMD Execution is a parallel processing paradigm within GPU computing where a single instruction is executed synchronously across multiple data elements, distinguishing itself from other execution models by enabling uniform operation across a wide vector of data points in a lockstep fashion.

375

Publications

17.2K

Citations

1.1K

Authors

308

Institutions

Publications per year

2017–2026

66

Variants

Simd Processing

Authors

1.1K

  1. SM
    Scott Mahlke

    University of Michigan, United States

    6 publications · 176 citations

    6

    h-index

  2. SH
    Sebastian Hack

    Saarland University, Germany

    6 publications · 100 citations

    6

    h-index

  3. BJ
    Ben Juurlink

    Technische Universität Berlin, Germany

    6 publications · 141 citations

    6

    h-index

  4. IW
    Ingo Wald

    University of Utah, United States

    5 publications · 552 citations

    5

    h-index

  5. MV
    Mateo Valero

    Universitat Politècnica de Catalunya, Spain

    5 publications · 98 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. ACM SIGPLAN Notices

    7 publications · 142 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 164 citations

    5

    h-index

  3. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 155 citations

    5

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 5 publications · 169 citations

    5

    h-index

  5. 4

    h-index

1–5