Gpu-based Particle Systems

GPU-Based Particle Systems is a computational framework for simulating and rendering particle dynamics in real time by leveraging the parallel processing capabilities of graphics processing units, distinguishing it from traditional CPU-based approaches through its use of massively parallel architectures optimized for graphics and numerical computations.

58

Publications

2.8K

Citations

206

Authors

108

Institutions

Publications per year

2017–2026

18

Authors

206

  1. DN
    Daniël N. Wilke

    University of Pretoria, South Africa

    3 publications · 176 citations

    3

    h-index

  2. NG
    N. Govender

    Laboratoire de Physique Nucléaire et de Hautes Énergies, France

    3 publications · 176 citations

    3

    h-index

  3. PP
    Patrick Pizette

    Université de Lille, France

    3 publications · 176 citations

    3

    h-index

  4. SP
    Simon Portegies Zwart

    Leiden University, Netherlands

    2 publications · 101 citations

    2

    h-index

  5. DP
    Darwyn Peachey

    University of Saskatchewan, Canada

    2 publications · 275 citations

    2

    h-index

1–5 of 206

Venues

  1. Journal of Computational Physics

    3 publications · 197 citations

    3

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 268 citations

    3

    h-index

  3. ACM SIGGRAPH Computer Graphics

    2 publications · 357 citations

    2

    h-index

  4. Chemical Engineering Science

    2 publications · 139 citations

    2

    h-index

  5. Computer Physics Communications

    2 publications · 88 citations

    2

    h-index

1–5