AsterX: a new open-source GPU-accelerated GRMHD code for dynamical spacetimes
ORAL
Abstract
With an increasing demand of extensive parallel computing in numerical simulations addressing various astrophysical problems, codes which can efficiently work on GPUs are the need of the hour. In this talk, I will discuss the salient features of a new open-source general relativistic magnetohydrodynamic (GRMHD) code AsterX, which is built upon CarpetX, a new driver for the Einstein Toolkit. AsterX is based on the flux-conservative Valencia formulation, considering staggered vector potential evolution. It designed to work on GPUs and also takes advantage of the block-structured adaptive mesh refinement provided by CarpetX through the AMReX framework. AsterX is still under development, and currently being tested on the Frontera cluster, passing some of the stringent GRMHD tests.
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Presenters
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Jay V Kalinani
University of Padova
Authors
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Jay V Kalinani
University of Padova
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Steven Brandt
Louisiana State University
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Manuela Campanelli
Rochester Institute of Technology
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Riccardo Ciolfi
INAF-Padova
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Lorenzo Ennoggi
Rochester Institute of Technology
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Bruno Giacomazzo
University of Milan, Bicocca
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Roland Haas
University of Illinois at Urbana-Champaign
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liwei Ji
Rochester Institute of Technology
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Federico G Lopez Armengol
Rochester Institute of Technology
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Erik Schnetter
Perimeter Inst for Theo Phys
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Yosef Zlochower
Rochester Institute of Technology