GPUPEGAS: A NEW GPU-ACCELERATED HYDRODYNAMIC CODE FOR NUMERICAL SIMULATIONS OF INTERACTING GALAXIES

被引：29
|
作者：
Kulikov, Igor [1 ]
机构：
[1] Inst Computat Math & Math Geophys SB RAS, Novosibirsk 630090, Russia
来源：
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES | 2014年 / 214卷 / 01期
关键词：
galaxies: interactions; gravitation; hydrodynamics; methods: numerical; SMOOTHED PARTICLE HYDRODYNAMICS; ADAPTIVE-MESH-REFINEMENT; GAS; COSMOLOGY; EQUATIONS;
D O I：
10.1088/0067-0049/214/1/12
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
In this paper, a new scalable hydrodynamic code, GPUPEGAS (GPU-accelerated Performance Gas Astrophysical Simulation), for the simulation of interacting galaxies is proposed. The details of a parallel numerical method co-design are described. A speed-up of 55 times was obtained within a single GPU accelerator. The use of 60 GPU accelerators resulted in 96% parallel efficiency. A collisionless hydrodynamic approach has been used for modeling of stars and dark matter. The scalability of the GPUPEGAS code is shown.
引用
收藏
页数：12
相关论文
共 50 条
  • [41] GAPD: a GPU-accelerated atom-based polychromatic diffraction simulation code
    E, J. C.
    Wang, L.
    Chen, S.
    Zhang, Y. Y.
    Luo, S. N.
    JOURNAL OF SYNCHROTRON RADIATION, 2018, 25 : 604 - 611
  • [42] LISFLOOD-FP 8.1: new GPU-accelerated solvers for faster fluvial/pluvial flood simulations
    Sharifian, Mohammad Kazem
    Kesserwani, Georges
    Chowdhury, Alovya Ahmed
    Neal, Jeffrey
    Bates, Paul
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2023, 16 (09) : 2391 - 2413
  • [43] Numerical Simulation of Submerged Slides Based on a GPU-Accelerated SPH Model
    Yi, Can
    Chen, Jianyu
    Feng, Dianlei
    COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2, 2025, 173 : 800 - 813
  • [44] An adaptive mesh, GPU-accelerated, and error minimized special relativistic hydrodynamics code
    Tseng, Po-Hsun
    Schive, Hsi-Yu
    Chiueh, Tzihong
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 504 (03) : 3298 - 3315
  • [45] PyTorchDIA: a flexible, GPU-accelerated numerical approach to Difference Image Analysis
    Hitchcock, James A.
    Hundertmark, Markus
    Foreman-Mackey, Daniel
    Bachelet, Etienne
    Dominik, Martin
    Street, Rachel
    Tsapras, Yiannis
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2021, 504 (03) : 3561 - 3579
  • [46] GPU-accelerated T-matrix algorithm for light-scattering simulations
    Iadarola, Giovanni
    Forestiere, Carlo
    Dal Negro, Luca
    Villone, Fabio
    Miano, Giovanni
    JOURNAL OF COMPUTATIONAL PHYSICS, 2012, 231 (17) : 5640 - 5652
  • [47] A New Representation of Intensity Atlas for GPU-accelerated Instance Generation
    Gong, Ren Hui
    Stewart, James
    Abolmaesumi, Purang
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 4399 - 4402
  • [48] Proactive project scheduling using GPU-accelerated simulations under uncertainty environment
    Morita, Daisuke
    Suwa, Haruhiko
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2024, 37 (05) : 612 - 629
  • [49] GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations
    Shah, Milan
    Yu, Xiaodong
    Di, Sheng
    Lykov, Danylo
    Alexeev, Yuri
    Becchi, Michela
    Cappello, Franck
    2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS, 2023, : 757 - 767
  • [50] GPU-accelerated Gibbs ensemble Monte Carlo simulations of Lennard-Jonesium
    Mick, Jason
    Hailat, Eyad
    Russo, Vincent
    Rushaidat, Kamel
    Schwiehert, Loren
    Potoff, Jeffrey
    COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (12) : 2662 - 2669
12345