Scientific Computing Acceleration

Scientific Computing Acceleration is a hardware acceleration technique that specifically optimizes computational performance in scientific simulations and numerical analysis workloads through specialized architectures or algorithms.

384

Publications

21.2K

Citations

1.7K

Authors

436

Institutions

Publications per year

2017–2026

110

Authors

1.7K

  1. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    11 publications · 998 citations

    10

    h-index

  2. VK
    Viktor K. Prasanna

    University of Southern California, United States

    9 publications · 666 citations

    9

    h-index

  3. LZ
    Ling Zhuo

    University of Southern California, United States

    6 publications · 463 citations

    6

    h-index

  4. RS
    Ronald Scrofano

    University of Southern California, United States

    5 publications · 229 citations

    5

    h-index

  5. JM
    Junichiro Makino

    The University of Tokyo, Japan

    5 publications · 358 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. Computing in Science & Engineering

    10 publications · 188 citations

    10

    h-index

  2. arXiv (Cornell University)

    Repository · 11 publications · 329 citations

    10

    h-index

  3. 7

    h-index

  4. Mathematics of Computation

    MCOM · 7 publications · 1.1K citations

    7

    h-index

  5. Computer Physics Communications

    5 publications · 279 citations

    5

    h-index

1–5