activity
20242026
most citedMulti-GPU Hybrid Particle-in-Cell Monte Carlo Simulations for Exascale Computing Systems

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

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-ph20261 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

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…

cs.DC2025

Accelerating Particle-in-Cell Monte Carlo Simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming

Jeremy J. Williams, Felix Liu, Jordy Trilaksono +11

As fusion energy devices advance, plasma simulations are crucial for reactor design. Our work extends BIT1 hybrid parallelization by integrating MPI with OpenMP and OpenACC, focusi…

physics.comp-ph2024

Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis

Jeremy J. Williams, Stefan Costea, Allen D. Malony +7

Particle-in-Cell Monte Carlo simulations on large-scale systems play a fundamental role in understanding the complexities of plasma dynamics in fusion devices. Efficient handling a…

cs.DC2024

Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring

Jeremy J. Williams, Daniel Medeiros, Stefan Costea +14

Large-scale HPC simulations of plasma dynamics in fusion devices require efficient parallel I/O to avoid slowing down the simulation and to enable the post-processing of critical i…