cuHARM: A New GPU-accelerated GRMHD Code and Its Application to ADAF Disks

被引:5
|
作者
Begue, D. [1 ]
Pe'er, A. [1 ]
Zhang, G. -q. [1 ,2 ]
Zhang, B. -b. [2 ,3 ]
Pevzner, B. [1 ]
机构
[1] Bar Ilan Univ, Ramat Gan, Israel
[2] Nanjing Univ, Sch Astron & Space Sci, Nanjing 210093, Peoples R China
[3] Nanjing Univ, Key Lab Modern Astron & Astrophys, Minist Educ, Nanjing, Peoples R China
来源
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES | 2023年 / 264卷 / 02期
基金
中国国家自然科学基金; 欧洲研究理事会;
关键词
BLACK-HOLE ACCRETION; PIECEWISE PARABOLIC METHOD; RELATIVISTIC MAGNETOHYDRODYNAMIC SIMULATIONS; ADVECTION-DOMINATED ACCRETION; M87 EVENT HORIZON; MAGNETIC-FIELD; JET FORMATION; FLOWS; SCHEME; DISCS;
D O I
10.3847/1538-4365/aca276
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We introduce a new GPU-accelerated general relativistic magnetohydrodynamic code based on HARM, which we call cuHARM. The code is written in CUDA-C and uses OpenMP to parallelize multi-GPU setups. Our code allows us to run high-resolution simulations of accretion disks and the formation and structure of jets without a need for multinode supercomputer infrastructure. A 256(3) simulation is well within the reach of an Nvidia DGX-V100 server, with the computation being about 10 times faster than if only the CPU is used. We use this code to examine several disk structures all in the SANE state. We find that (i) increasing the magnetic field in the SANE state does not affect the mass accretion rate; (ii) simultaneously increasing the disk size and the magnetic field, while keeping the ratio of energies fixed, leads to the destruction of the jet once the magnetic flux through the horizon decreases below a certain limit (this demonstrates that the existence of a jet is a function of the initial mass distribution, and not of the initial intensity of the magnetic field, since the magnetorotational instability dictates the evolution of the magnetic field); and (iii) the structure of the jet is a weak function of the adiabatic index of the gas, with relativistic gas tending to have a wider jet.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] AsterX: a new open-source GPU-accelerated GRMHD code for dynamical spacetimes
    Kalinani, Jay, V
    Ji, Liwei
    Ennoggi, Lorenzo
    Armengol, Federico G. Lopez
    Sanches, Lucas Timotheo
    Tsao, Bing-Jyun
    Brandt, Steven R.
    Campanelli, Manuela
    Ciolfi, Riccardo
    Giacomazzo, Bruno
    Haas, Roland
    Schnetter, Erik
    Zlochower, Yosef
    CLASSICAL AND QUANTUM GRAVITY, 2025, 42 (02)
  • [2] GRaM-X: a new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit
    Shankar, Swapnil
    Mosta, Philipp
    Brandt, Steven R.
    Haas, Roland
    Schnetter, Erik
    de Graaf, Yannick
    CLASSICAL AND QUANTUM GRAVITY, 2023, 40 (20)
  • [3] GPU-accelerated reverse time migration and its application
    Zhang, Hui
    Cai, Qixin
    Qin, Guang-Sheng
    Gao, Airong
    Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting, 2013, 48 (05): : 707 - 710
  • [4] GPU-Accelerated Fault Simulation and Its New Applications
    Li, Huawei
    Xu, Dawen
    Cheng, Kwang-Ting
    2011 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2011, : 58 - 61
  • [5] Development of a GPU-accelerated photon-electron coupled transportation Monte Carlo code and its application
    Wu Z.
    Lu W.
    Yan S.
    Qiu R.
    Zhang H.
    Li J.
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2022, 43 (11): : 1649 - 1656+1663
  • [6] GPU-Accelerated Monte Carlo Code FRED for Clinical Application in Proton Therapy
    Rucinski, A.
    Baran, J.
    Battistoni, G.
    Durante, M.
    Gajewski, J.
    Garbacz, M.
    Kopec, R.
    Krah, N.
    Mierzwinska, G.
    Mojzeszek, N.
    Patera, V.
    Pawlik-Niedzwiecka, M.
    Rinaldi, I.
    Sas-Korczynska, B.
    Scifoni, E.
    Skrzypek, A.
    Tommasino, F.
    Schiavi, A.
    MEDICAL PHYSICS, 2019, 46 (06) : E279 - E279
  • [7] GPUPEGAS: A NEW GPU-ACCELERATED HYDRODYNAMIC CODE FOR NUMERICAL SIMULATIONS OF INTERACTING GALAXIES
    Kulikov, Igor
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2014, 214 (01):
  • [8] H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing with 3D Adaptive Mesh Refinement and Local Adaptive Time Stepping
    Liska, M. T. P.
    Chatterjee, K.
    Issa, D.
    Yoon, D.
    Kaaz, N.
    Tchekhovskoy, A.
    van Eijnatten, D.
    Musoke, G.
    Hesp, C.
    Rohoza, V.
    Markoff, S.
    Ingram, A.
    van der Klis, M.
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2022, 263 (02):
  • [9] FluTAS: A GPU-accelerated finite difference code for multiphase flows
    Crialesi-Esposito, Marco
    Scapin, Nicolo
    Demou, Andreas D.
    Rosti, Marco Edoardo
    Costa, Pedro
    Spiga, Filippo
    Brandt, Luca
    COMPUTER PHYSICS COMMUNICATIONS, 2023, 284
  • [10] A novel rockbolt formulation for a GPU-accelerated, finite-discrete element method code and its application to underground excavations
    Lisjak, A.
    Young-Schultz, T.
    Li, B.
    He, L.
    Tatone, B. S. A.
    Mahabadi, O. K.
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2020, 134