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20232026
most citedLeveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations

8 citations · 34 across the 13 of their papers we have counts for

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6 papers · 1 filter

physics.plasm-ph2026

Computational Methods and GPU Acceleration in Plasma Physics: A Empirical Analysis of arXiv Publications and Research Trends

Jeremy J. Williams, Anders Brostrom, Stefano Markidis

Computational plasma physics increasingly relies on high-performance computing (HPC) methods, including particle-in-cell (PIC), gyrokinetic, and magnetohydrodynamic (MHD) simulatio…

physics.plasm-ph2026

High-Performance Resilient Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations at Scale

Jeremy J. Williams, Stefan Costea, David Tskhakaya +13

The increasing demand for high-performance computing in plasma physics has driven scalable and resilient simulation methods capable of efficiently exploiting modern multi-GPU archi…

physics.plasm-ph2026★ 1 cited

Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems

Jeremy J. Williams, Jordy Trilaksono, Stefan Costea +13

Particle-in-Cell (PIC) Monte Carlo (MC) simulations are central to plasma physics but face increasing challenges on heterogeneous HPC systems due to excessive data movement, synchr…

physics.plasm-ph2025★ 2 cited

Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale

Jeremy J. Williams, Stefan Costea, Daniel Medeiros +11

Efficient simulation of complex plasma dynamics is crucial for advancing fusion energy research. Particle-in-Cell (PIC) Monte Carlo (MC) simulations provide insights into plasma be…

physics.plasm-ph2024★ 2 cited

Characterizing the Performance of the Implicit Massively Parallel Particle-in-Cell iPIC3D Code

Jeremy J. Williams, Daniel Medeiros, Ivy B. Peng +1

Optimizing iPIC3D, an implicit Particle-in-Cell (PIC) code, for large-scale 3D plasma simulations is crucial for space and astrophysical applications. This work focuses on characte…

physics.plasm-ph2024★ 1 cited

Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers

Jeremy J. Williams, Ashish Bhole, Dylan Kierans +11

Understanding plasma instabilities is essential for achieving sustainable fusion energy, with large-scale plasma simulations playing a crucial role in both the design and developme…