Abstract
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 2563 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.
Original language | English |
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Number of pages | 25 |
Journal | Astrophysical Journal, Supplement Series |
Volume | 264 |
Issue number | 2 |
DOIs | |
State | Published - 1 Feb 2023 |
Bibliographical note
Publisher Copyright:© 2023. The Author(s). Published by the American Astronomical Society.
Funding
We thank Oliver Porth for helpful discussions. D.B. and A.P. acknowledge support from the European Research Council via ERC consolidating grant No. 773062 (acronym O.M.J.). B.-B.Z. acknowledges support from the National Key Research and Development Programs of China (2018YFA0404204), the National Natural Science Foundation of China (grant Nos. 11833003, U2038105, 12121003, 11922301, 12041306, and 12103089), science research grants from the China Manned Space Project with No. CMS-CSST-2021-B11, the Natural Science Foundation of Jiangsu Province (grant No. BK20211000), and the Program for Innovative Talents, Jiangsu. This work was performed on an HPC server equipped with eight Nvidia DGX-V100 GPU modules at Nanjing University. We acknowledge IT support from the computer lab of the School of Astronomy and Space Science at Nanjing University. G.-Q.Z. also acknowledges support from the China Scholarship Council for a one-year study in Bar-Ilan University.
Funders | Funder number |
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Program for Innovative Talents, Jiangsu | |
European Commission | 773062 |
National Natural Science Foundation of China | 12041306, 12121003, U2038105, 12103089, CMS-CSST-2021-B11, 11833003, 11922301 |
China Scholarship Council | |
Natural Science Foundation of Jiangsu Province | BK20211000 |
Nanjing University | |
National Key Research and Development Program of China | 2018YFA0404204 |