Talk 'Next-Generation Simulations For Xfel-Plasma Interactions With Solid Density Targets With Picongpu'

Autor: Axel Huebl, René Widera, Richard Pausch, Marco Garten, Heiko Burau, Alexander Matthes, Benjamin Worpitz, Fabian Koller, Thomas Kluge, Jan Vorberger, Alexander Debus, Thomas Cowan, Ulrich Schramm, Hyun-Kyung Chung, Michael Bussmann
Jazyk: angličtina
Rok vydání: 2017
Předmět:
DOI: 10.5281/zenodo.1001893
Popis: PIConGPU reportedly is the fastest particle-in-cell code in the world with respect to sustained Flop/s. Written in performance-portable, single-source C++ we constantly push the envelope towards Exascale laser-plasma modeling. However, solving previously week-long simulation tasks in a few hours with a speedy framework is only the beginning. This talk will present the architecture and recent additions driving PIConGPU. As we speak, we run on the fastest machines and the community approaches a new generation of TOP10 clusters. Within those, many-core computing architectures and severe limitations in available I/O bandwidth demand fundamental rethinking of established modeling workflows towards in situ-processing. We present our ready-to-use open-source solutions and address scientific repeatability, data-reduction in I/O, predictability and new atomic modeling for XFEL pump-probe experiments.
This research used resources of the Oak Ridge Leadership Computing Facility located in the Oak Ridge National Laboratory, which is supported by the Office of Science of the Department of Energy under Contract DE-AC05-00OR22725.
Databáze: OpenAIRE