A Performance Model for GPU-Accelerated FDTD Applications

In this work we develop, validate and use a performance model for a Finite-Difference Time-Domain (FDTD) application which is parallelized on multiple GPUs. FDTD is a method for simulating electrodynamic interaction and is applied in a number of research and engineering areas. In this work we focus...

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Bibliographic Details
Published in:	2015 IEEE 22nd International Conference on High Performance Computing (HiPC) pp. 185 - 193
Main Authors:	Baumeister, Paul F., Hater, Thorsten, Kraus, Jiri, Pleiter, Dirk, Wahl, Pierre
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-12-2015
Subjects:	Computational modeling Computer architecture FDTD methods Finite difference methods GPU computing Graphics processing units High Performance Computing Lattices Magnetic domains Performance analysis Performance modeling Stencil computations Time-domain analysis
Online Access:	Get full text
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Summary:	In this work we develop, validate and use a performance model for a Finite-Difference Time-Domain (FDTD) application which is parallelized on multiple GPUs. FDTD is a method for simulating electrodynamic interaction and is applied in a number of research and engineering areas. In this work we focus on a particular implementation called B-CALM (Belgium-California Light Machine). We adopt a simple, semi-empirical modelling approach to design a model which we validate for different hardware architectures. Using the model allows making implementation decisions and exploring the architectural design space with the goal of optimizing HPC systems for this application.
DOI:	10.1109/HiPC.2015.24