587 citations · 5.7k across the 66 of their papers we have counts for
Showing astro-ph.IMShow all
2 papers · 1 filter
astro-ph.IM2022★ 25 cited
GRaM-X: A new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit
Swapnil Shankar, Philipp Mösta, Steven R. Brandt +3
We present GRaM-X (General Relativistic accelerated Magnetohydrodynamics on AMReX), a new GPU-accelerated dynamical-spacetime general relativistic magnetohydrodynamics (GRMHD) code…
astro-ph.IM2019★ 11 cited
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…