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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.

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