High Energy Astrophysical Phenomena · Physics
A GPU-Accelerated Modern Fortran Version of the ECHO Code for Relativistic Magnetohydrodynamics
Luca Del Zanna, Simone Landi, Lorenzo Serafini, Matteo Bugli +1
2024-01-09
High Energy Astrophysical Phenomena · Physics
H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing With 3D Adaptive Mesh Refinement and Local Adaptive Time-stepping
M. T. P. Liska, K. Chatterjee, D. Issa, D. Yoon +9
2022-12-06
General Relativity and Quantum Cosmology · Physics
MHDuet : a high-order General Relativistic Radiation MHD code for CPU and GPU architectures
Carlos Palenzuela, Miguel Bezares, Steven Liebling, Federico Schianchi +11
2025-12-02
High Energy Astrophysical Phenomena · Physics
The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project
Oliver Porth, Koushik Chatterjee, Ramesh Narayan, Charles F. Gammie +24
2019-08-07
Computational Physics · Physics
Efficient magnetohydrodynamic simulations on graphics processing units with CUDA
Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang
2010-11-23
Instrumentation and Methods for Astrophysics · Physics
Computational advances in gravitational microlensing: a comparison of CPU, GPU, and parallel, large data codes
N. F. Bate, C. J. Fluke, B. R. Barsdell, H. Garsden +1
2015-05-19
Distributed, Parallel, and Cluster Computing · Computer Science
Graphic processors to speed-up simulations for the design of high performance solar receptors
Sylvain Collange, Marc Daumas, David Defour
2007-06-13
Instrumentation and Methods for Astrophysics · Physics
GRaM-X: A new GPU-accelerated dynamical spacetime GRMHD code for Exascale computing with the Einstein Toolkit
Swapnil Shankar, Philipp Mösta, Steven R. Brandt, Roland Haas +2
2025-12-23
Computational Physics · Physics
Three Dimensional Pseudo-Spectral Compressible Magnetohydrodynamic GPU Code for Astrophysical Plasma Simulation
Rupak Mukherjee, Rajaraman Ganesh, Vinod Saini, Udaya Maurya +2
2019-01-25
Computational Physics · Physics
GPU coprocessors as a service for deep learning inference in high energy physics
Jeffrey Krupa, Kelvin Lin, Maria Acosta Flechas, Jack Dinsmore +12
2021-04-26
High Energy Astrophysical Phenomena · Physics
cuHARM : a new GPU accelerated GR-MHD code and its application to ADAF disks
Damien Bégué, Asaf Pe'er, Guoqiang Zhang, BinBin Zhang +1
2023-02-01
Instrumentation and Detectors · Physics
GPGPU for track finding in High Energy Physics
Lorenzo Rinaldi, Mauro Belgiovine, Riccardo Di Sipio, Alessandro Gabrielli +5
2015-07-14