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.

*This research was supported by the Frontera allocation PHY20010, NSF awards OAC-2031744, PHY-2018420 and PHY-2110338, NASA award 80NSSC18K1488

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Presenters

  • Jay V Kalinani

    • University of Padova

Authors

  • Jay V Kalinani

    • University of Padova

  • Steven Brandt

    • Louisiana State University

  • Manuela Campanelli

    • Rochester Institute of Technology

  • Riccardo Ciolfi

    • INAF-Padova

  • Lorenzo Ennoggi

    • Rochester Institute of Technology

  • Bruno Giacomazzo

    • University of Milan, Bicocca

  • Roland Haas

    • University of Illinois at Urbana-Champaign

  • liwei Ji

    • Rochester Institute of Technology

  • Federico G Lopez Armengol

    • Rochester Institute of Technology

  • Erik Schnetter

    • Perimeter Inst for Theo Phys

  • Yosef Zlochower

    • Rochester Institute of Technology