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PIConGPU 0.2.0: Beta Release - Full Multiple Species Support & openPMD

Authors: Axel Huebl; René Widera; Alexander Grund; Richard Pausch; Heiko Burau; Alexander Debus; Marco Garten; +8 Authors

PIConGPU 0.2.0: Beta Release - Full Multiple Species Support & openPMD

Abstract

This release of PIConGPU, providing "beta" status for users, implements full multi-species support for an arbitrary number of particle species and refactors our main I/O to be formatted as openPMD (see http://openPMD.org). Several major features have been implemented and stabilized, highlights include refactored ADIOS support (including checkpoints), a classical radiation reaction pusher (based on the work of M. Vranic/IST), parallel particle-IDs, generalized on-the-fly particle creation, advanced field ionization schemes and unification of plugin and file names. This is our last C++98 compatible release (for CUDA 5.5-7.0). Upcoming releases will be C++11 only (CUDA 7.5+), which is already supported in this release, too. Please refer to CHANGELOG.md for a full list of features, fixes and user interface changes. Thank you to Axel Huebl, René Widera, Alexander Grund, Richard Pausch, Heiko Burau, Alexander Debus, Marco Garten, Benjamin Worpitz, Erik Zenker, Frank Winkler, Carlchristian Eckert, Stefan Tietze, Benjamin Schneider, Maximilian Knespel and Michael Bussmann for contributions to this release!

{"references": ["M. Vranic et al. (2015). Classical radiation reaction in particle-in-cell simulations. DOI:10.1016/j.cpc.2016.04.002", "L. V. Keldysh (1965). Ionization in the field of a strong electromagnetic wave.", "D. Bauer and P. Mulser (1999). Exact field ionization rates in the barrier-suppression regime from numerical time-dependent Schr\u00f6dinger-equation calculations. DOI:10.1103/PhysRevA.59.569", "A. Huebl et al. (2015). openPMD 1.0.0 - A meta data standard for particle and mesh based data. DOI:10.5281/zenodo.33624"]}

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Keywords

PIConGPU, CUDA, HPC, Plasma Physics, GPU

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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