Concepedia

Strong Scaling

Strong Scaling is a scalability analysis method that measures the speedup achieved by increasing computational resources while keeping the problem size fixed, thereby evaluating the efficiency of parallelization in reducing execution time for a given task.

166

Publications

9.3K

Citations

771

Authors

288

Institutions

Publications per year

2017–2026

61

Parents

Publications

166

Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS

The Journal of Chemical Physics · 2020 · 887 citations · Full text

, , +17

Anton 2: Raising the Bar for Performance and Programmability in a Special-Purpose Molecular Dynamics Supercomputer

David E. Shaw, J.P. Grossman, Joseph A. Bank et al. · 2014 · 687 citations

, , +17

Strong scaling of general-purpose molecular dynamics simulations on GPUs

Jens Gläser, Trung Dac Nguyen, Joshua A. Anderson et al. · Computer Physics Communications · 2015 · 679 citations · Full text

, , +12

Is the Geometry of Nature Fractal?

David Avnir, Ofer Biham, Daniel A. Lidar et al. · Science · 1998 · 434 citations

, , +6

Evaluating the performance of parallel subsurface simulators: An illustrative example with PFLOTRAN

Glenn Hammond, Peter C. Lichtner, Richard T. Mills · Water Resources Research · 2013 · 374 citations · Full text

, , +15

1–5 of 166

Authors

771

  1. LV
    Laxmikant V. Kalé

    University of Illinois Urbana-Champaign, United States

    5 publications · 170 citations

    5

    h-index

  2. CD
    Christopher D. Carothers

    Rensselaer Polytechnic Institute, United States

    4 publications · 182 citations

    4

    h-index

  3. KP
    Keshav Pingali

    The University of Texas at Austin, United States

    4 publications · 189 citations

    4

    h-index

  4. JD
    James Demmel

    University of California, Berkeley, United States

    4 publications · 208 citations

    4

    h-index

  5. MN
    M. Nakata

    National Institute for Fusion Science, Japan

    3 publications · 48 citations

    3

    h-index

1–5 of 771

Institutions

288

  1. Argonne National Laboratory

    Lemont, United States

    12 h-index

    51 publications

    1.1K citations

  2. Lawrence Livermore National Laboratory

    Livermore, United States

    9 h-index

    22 publications

    1.2K citations

  3. Lawrence Berkeley National Laboratory

    Berkeley, United States

    9 h-index

    23 publications

    1.1K citations

  4. University of Illinois Urbana-Champaign

    Urbana, United States

    8 h-index

    15 publications

    614 citations

  5. The University of Texas at Austin

    Austin, United States

    7 h-index

    20 publications

    967 citations

  6. Stanford University

    Stanford, United States

    6 h-index

    17 publications

    582 citations

  7. RIKEN Center for Computational Science

    Kobe, Japan

    6 h-index

    12 publications

    225 citations

  8. University of California, Berkeley

    Berkeley, United States

    6 h-index

    17 publications

    1.4K citations

1–8 of 288

Venues

  1. 10

    h-index

  2. SIAM Journal on Scientific Computing

    5 publications · 183 citations

    5

    h-index

  3. Computer Physics Communications

    5 publications · 751 citations

    5

    h-index

  4. 4

    h-index

  5. Physics Letters B

    4 publications · 224 citations

    4

    h-index

1–5