Jena 2013 – wissenschaftliches Programm

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P: Fachverband Plasmaphysik

P 23: Theorie und Modellierung von Niedertemperaturplasmen II

P 23.6: Fachvortrag

Freitag, 1. März 2013, 11:00–11:25, HS 3

PIConGPU - A Highly-Scalable Particle-in-Cell Implementation for GPU Clusters — •Michael Bussmann¹, Heiko Burau¹, Alexander Debus¹, Axel Hübl¹, Thomas Kluge¹, Richard Pausch¹, Nils Schmeisser¹, Benjamin Schneider^1,2, Klaus Steiniger¹, Rene Widera¹, Nikolai Wyderka¹, Ulrich Schramm¹, Thomas Cowan¹, Felix Schmitt³, Sebastian Grottel², Stefan Gumhold², Guido Juckeland^2,4, and Wolfgang Nagel^2,4 — ¹HZDR, Dresden — ²TU Dresden — ³NVIDIA, Austin — ⁴ZIH, Dresden

PIConGPU can handle large-scale simulations of laser plasma and astrophysical plasma dynamics on GPU clusters with thousands of GPUs. High data throughput allows to conduct large parameter surveys but makes it necessary to rethink data analysis and look for new ways of analyzing large simulation data sets. The speedup seen on GPUs enables scientists to add physical effects to their code that up until recently have been too computationally demanding. We present recent results obtained with PIConGPU, discuss scaling behaviour, the most important building blocks of the code and new physics modules recently added. In addition we give an outlook on data analysis, resiliance and load balancing with PIConGPU.