NDLI: Hyperscaling of plasma turbulence simulations in DEISA

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Hyperscaling of plasma turbulence simulations in DEISA

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Hyperscaling of plasma turbulence simulations in DEISA

Content Provider	ACM Digital Library
Author	Tisma, Reinhard Jenko, Frank Hatzky, Roman Bottino, Alberto Lederer, Hermann
Abstract	For support of the world-wide ITER (International Thermonuclear Experimental Reactor) project [1], large scale numerical simulations will be a necessity. Plasma turbulence simulations play a key role for the design, construction and optimization of the necessary fusion devices. The simulations will be so compute and memory intensive that applications must be able to efficiently use tens of thousands of processors. Highly scalable applications are mandatory. In Europe, within the DEISA supercomputing grid project, the DEISA Extreme Computing Initiative supports application enabling work and usage of Europe's most powerful supercomputers for challenging projects. With all support of the DEISA Extreme Computing Initiative and the DEISA Joint Research Activity in Plasma Physics, leading plasma turbulence simulations have been enabled for hyperscaling and for efficient and portable usage in the heterogeneous DEISA grid. Here we report about the large scale applications GENE and ORB5 with high relevance for ITER. GENE, a so-called Vlasov-code, was parallelized to such a high degree that efficient usage on 32,768 processors could be demonstrated. The PIC code ORB5 was enabled for hyperscaling especially through application of the domain cloning concept. Efficient usage of ORB5 code could be demonstrated on 8192 processors.
Starting Page	19
Ending Page	26
Page Count	8
File Format	PDF
ISBN	9781595937148
DOI	10.1145/1273404.1273406
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-06-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Tokamak Supercomputing grids Large scale applications Iter Deisa Stellarator Gyrokinetic turbulence simulations
Content Type	Text
Resource Type	Article

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