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Optimized routines ...
Optimized routines for event generators in QED-PIC codes
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Volokitin, V. (author)
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Bastrakov, S. (author)
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Bashinov, A. (author)
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Efimenko, E. (author)
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Muraviev, A. (author)
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- Gonoskov, Arkady, 1984 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
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Meyerov, I. (author)
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(creator_code:org_t)
- IOP Publishing, 2020
- 2020
- English.
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In: Journal of Physics: Conference Series. - : IOP Publishing. - 1742-6588 .- 1742-6596.
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https://doi.org/10.1...
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Abstract
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- © Published under licence by IOP Publishing Ltd. In recent years, the prospects of performing fundamental and applied studies at the next-generation high-intensity laser facilities have greatly stimulated the interest in performing large-scale simulations of laser interaction with matter with the account for quantum electrodynamics (QED) processes such as emission of high energy photons and decay of such photons into electron-positron pairs. These processes can be modelled via probabilistic routines that include frequent computation of synchrotron functions and can constitute significant computational demands within accordingly extended Particle-in-Cell (QED-PIC) algorithms. In this regard, the optimization of these routines is of great interest. In this paper, we propose and describe two modifications. First, we derive a more accurate upper-bound estimate for the rate of QED events and use it to arrange local sub-stepping of the global time step in a significantly more efficient way than done previously. Second, we present a new high-performance implementation of synchrotron functions. Our optimizations made it possible to speed up the computations by a factor of up to 13.7 depending on the problem. Our implementation is integrated into the PICADOR and Hi-Chi codes, the latter of which is distributed publicly (https://github.com/hi-chi/pyHiChi).
Subject headings
- NATURVETENSKAP -- Fysik -- Annan fysik (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Other Physics Topics (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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