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GPGU Accelerated Beam Dynamics Interfacing PyHEADTAIL with SixTrackLib

Authors: Meghana Madhyastha;

GPGU Accelerated Beam Dynamics Interfacing PyHEADTAIL with SixTrackLib

Abstract

Simulations of beam dynamics vastly profit from parallelisation with high performance computing tech- niques. The two simulation libraries SixTrackLib and PyHEADTAIL are GPGPU accelerated. The former models non-linear particle tracking while the latter models wakefields and space charge using linear tracking. In this project the goal is to explore concepts to bridge the gap between the two simulation codes, thus a potential user can use them as a single simulation code while being abstracted from the interfacing details. Advanced non-linear particle tracking capability is introduced into PyHEADTAIL via SixTrackLib. Therefore collective effects such as space charge and wakefield interactions can be simulated more accurately in view of resonance dynamics and beam instability applications. As an introductory task wakefield calculations are ported to the GPU in order to reduce total simulation time. A major part of the project is to interface PyHEADTAIL with SixTrackLib so that a user of PyHEADTAIL can utilise the non-linear tracking functionality of SixTrackLib via an API in python. This interfacing mechanism works on both the CPU and GPU and the user has the option to switch between the two.

Keywords

summer-student programme, CERN openlab, summer student programme

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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78
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