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20242026
most citedAccelerating Particle-in-Cell Monte Carlo Simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming

7 citations · 19 across the 18 of their papers we have counts for

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8 papers · 1 filter

cs.DC2024★ 6 cited

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…

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…

physics.comp-ph2024★ 2 cited

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

Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular Supercomputing Architectures

Martin Karp, Estela Suarez, Jan H. Meinke +4

The never-ending computational demand from simulations of turbulence makes computational fluid dynamics (CFD) a prime application use case for current and future exascale systems.…

cs.DC2024

Supercomputers as a Continous Medium

Martin Karp, Niclas Jansson, Philipp Schlatter +1

As supercomputers' complexity has grown, the traditional boundaries between processor, memory, network, and accelerators have blurred, making a homogeneous computer model, in which…

math.OC2024

A GPU-Accelerated Interior Point Method for Radiation Therapy Optimization

Felix Liu, Albin Fredriksson, Stefano Markidis

Optimization plays a central role in modern radiation therapy, where it is used to determine optimal treatment machine parameters in order to deliver precise doses adapted to each…

cs.DC2024★ 7 cited

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…

cs.DC2024

ParaLog: Consistent Host-side Logging for Parallel Checkpoints

Steven W. D. Chien, Kento Sato, Artur Podobas +3

Output-intensive scientific applications are highly sensitive to low storage throughput. While existing scientific application stacks are optimized for traditional High-Performance…