Adaptable Particle-in-Cell algorithms for graphical processing units

We developed new parameterized Particle-in-Cell algorithms and data structures for emerging multi-core and many-core architectures. Four parameters allow tuning of this PIC code to different hardware configurations. Particles are kept ordered at each time step. The first application of these algorit...

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Bibliographic Details
Published inComputer physics communications Vol. 182; no. 3; pp. 641 - 648
Main Authors Decyk, Viktor K., Singh, Tajendra V.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2011
Subjects
Algorithms
Computation
Electrostatics
GPU
Hardware
Microprocessors
Parallel algorithms
Particle in cell technique
Particle-in-Cell
Tuning
Two dimensional
Particle-in-Cell
GPU
Parallel algorithms
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ISSN0010-4655
1879-2944
DOI10.1016/j.cpc.2010.11.009

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Summary:We developed new parameterized Particle-in-Cell algorithms and data structures for emerging multi-core and many-core architectures. Four parameters allow tuning of this PIC code to different hardware configurations. Particles are kept ordered at each time step. The first application of these algorithms is to NVIDIA graphical processing units, where speedups of about 15–25 compared to an Intel Nehalem processor were obtained for a simple 2D electrostatic code. Electromagnetic codes are expected to get higher speedups due to their greater computational intensity.
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ISSN:0010-4655
1879-2944
DOI:10.1016/j.cpc.2010.11.009