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Q. Lu, J. Amundson
Synergia is a parallel, 3-dimensional space-charge particle-in-cell accelerator modeling code. We present our work porting the purely MPI-based version of the code to a hybrid of CPU and GPU computing kernels. The hybrid code uses the CUDA platform in the same framework as the pure MPI solution. We have implemented a lock-free collaborative charge-deposition algorithm […]
Leonard Weydemann
This project’s aim is to find a WebGL based alternative to the Java implementation of OpenPixi, a Java-based Particle-in-Cell (PIC) simulation software, and to add a third dimension. For this purpose, an existing JavaScript library, three.js, was chosen. A handful of approaches are explored and the resulting prototypes are then compared in terms of speed, […]
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Axel Huebl, David Pugmire, Felix Schmitt, Richard Pausch, Michael Bussmann
Emerging new technologies in plasma simulations allow tracking billions of particles while computing their radiative spectra. We present a visualization of the relativistic Kelvin-Helmholtz Instability from a simulation performed with the fully relativistic particle-in-cell code PIConGPU powered by 18,000 GPUs on the USA’s fastest supercomputer Titan [1].
Philippe Helluy, Laurent Navoret, Nhung Pham, Anais Crestetto
In this paper we review two different numerical methods for Vlasov-Maxwell simulations. The first method is based on a coupling between a Discontinuous Galerkin (DG) Maxwell solver and a Particle-In-Cell (PIC) Vlasov solver. The second method only uses a DG approach for the Vlasov and Maxwell equations. The Vlasov equation is first reduced to a […]
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R. F. Bird, S. J. Pennycook, S. A. Wright, S. A. Jarvis
We present the first reported OpenCL implementation of EPOCH3D, an extensible particle-in-cell plasma physics code developed at the University of Warwick. We document the challenges and successes of this porting effort, and compare the performance of our implementation executing on a wide variety of hardware from multiple vendors. The focus of our work is on […]
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Kai Germaschewski, William Fox, Narges Ahmadi, Liang Wang, Stephen Abbott, Hartmut Ruhl, Amitava Bhattacharjee
Recent increases in supercomputing power, driven by the multi-core revolution and accelerators such as the IBM Cell processor, graphics processing units (GPUs) and Intel’s Many Integrated Core (MIC) technology have enabled kinetic simulations of plasmas at unprecedented resolutions, but changing HPC architectures also come with challenges for writing efficient numerical codes. This paper describes the […]
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Joshua Estes Payne
In this thesis, I designed and implemented a particle-in-cell (PIC) code on a graphical processing unit (GPU) using NVIDA’s Compute Unified Architecture (CUDA). The massively parallel nature of computing on a GPU nessecitated the development of new methods for various steps of the PIC method. I investigated different algorithms and data structures used in the […]
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Anais Crestetto, Philippe Helluy, Jonathan Jung
We present several numerical simulations of conservation laws on recent multicore processors, such as GPU’s, using the OpenCL programming framework. Depending on the chosen numerical method, different implementation strategies have to be considered, for achieving the best performance. We explain how to program efficiently three methods: a finite volume approach on a structured grid, a […]
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Anais Crestetto, Philippe Helluy
We present an implementation of a Vlasov-Maxwell solver for multicore processors. The Vlasov equation describes the evolution of charged particles in an electromagnetic field, solution of the Maxwell equations. The Vlasov equation is solved by a Particle-In-Cell method (PIC), while the Maxwell system is computed by a Discontinuous Galerkin method. We use the OpenCL framework, […]
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Junya Suzuki, Hironori Shimazu, Keiichiro Fukazawa, Mitsue Den
Particle-in-cell (PIC) is a simulation technique for plasma physics. The large number of particles in highresolution plasma simulation increases the volume computation required, making it vital to increase computation speed. In this study, we attempt to accelerate computation speed on graphics processing units (GPUs) using KEMPO, a PIC simulation code package [H. Matsumoto and Y. […]
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Kamesh Madduri, Khaled Z. Ibrahim, Samuel Williams, Eun-Jin Im, Stephane Ethier, John Shalf, Leonid Oliker
The gyrokinetic Particle-in-Cell (PIC) method is a critical computational tool enabling petascale fusion simulation research. In this work, we present novel multi- and manycore-centric optimizations to enhance performance of GTC, a PIC-based production code for studying plasma microturbulence in tokamak devices. Our optimizations encompass all six GTC sub-routines and include multi-level particle and grid decompositions […]
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Min Ragan-Kelley
This report is on a small test problem within the context of a larger long-term research project. GPUs are increasingly popular for particle methods, due to the readily apparent parallelism inherent to N-Body problems. Particle-In-Cell is a popular scheme for exploring systems in plasma physics. We hope to explore a small sample problem in order […]
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