70 citations · 333 across the 25 of their papers we have counts for
8 papers · 1 filter
PICSAR-QED: a Monte Carlo module to simulate Strong-Field Quantum Electrodynamics in Particle-In-Cell codes for exascale architectures
Luca Fedeli, Neïl Zaïm, Antonin Sainte-Marie +5
Physical scenarios where the electromagnetic fields are so strong that Quantum ElectroDynamics (QED) plays a substantial role are one of the frontiers of contemporary plasma physic…
HiPACE++: a portable, 3D quasi-static Particle-in-Cell code
Severin Diederichs, Carlo Benedetti, Axel Huebl +6
Modeling plasma accelerators is a computationally challenging task and the quasi-static particle-in-cell algorithm is a method of choice in a wide range of situations. In this work…
Modeling of Advanced Accelerator Concepts
J. -L. Vay, A. Huebl, R. Lehe +6
Computer modeling is essential to research on Advanced Accelerator Concepts (AAC), as well as to their design and operation. This paper summarizes the current status and future nee…
Simulations of Future Particle Accelerators: Issues and Mitigations
D. Sagan, M. Berz, N. M. Cook +15
The ever increasing demands placed upon machine performance have resulted in the need for more comprehensive particle accelerator modeling. Computer simulations are key to the succ…
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization
Lipeng Wan, Axel Huebl, Junmin Gu +12
The applications being developed within the U.S. Exascale Computing Project (ECP) to run on imminent Exascale computers will generate scientific results with unprecedented fidelity…
Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
Franz Poeschel, Juncheng E, William F. Godoy +11
This paper aims to create a transition path from file-based IO to streaming-based workflows for scientific applications in an HPC environment. By using the openPMP-api, traditional…
In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code
Michael E. Rowan, Axel Huebl, Kevin N. Gott +4
Maintaining computational load balance is important to the performant behavior of codes which operate under a distributed computing model. This is especially true for GPU architect…
Porting WarpX to GPU-accelerated platforms
A. Myers, A. Almgren, L. D. Amorim +20
WarpX is a general purpose electromagnetic particle-in-cell code that was originally designed to run on many-core CPU architectures. We describe the strategy followed to allow Warp…