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000279818 041__ $$aEnglish
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000279818 1001_ $$0P:(DE-Juel1)130731$$aWolf, Anna$$b0$$eCorresponding author
000279818 1112_ $$aPARS 15$$cPotsdam$$d2015-05-07 - 2015-05-08$$wGermany
000279818 245__ $$aParticle-in-Cell algorithms on DEEP:The iPiC3D case study
000279818 260__ $$aErlangen$$bPARS$$c2015
000279818 300__ $$a11p.
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000279818 520__ $$aThe DEEP (Dynamical Exascale Entry Platform) project aims to provide a first implementation of a novel architecture for heterogeneous high-performance computing.This architecture consists of a standard HPC Cluster and – tightly coupled –a cluster of many-core processors called Booster. This concept offers application developers the opportunity to run different parts of their program on the best fitting part of the machine striving for an optimal overall performance. In order to take advantage of this architecture applications require some adaption. To provide optimal support to the application developers the DEEP concept includes a high-level programming model that helps to separate a given program to the Cluster and Booster parts of the DEEP System. This paper presents the adaption work required for a Particle-in-Cell space weather application developed by KU Leuven (Katholieke Universiteit Leuven)done in the course of the DEEP project. It discusses all crucial steps of the work starting with a scalability analysis of the different parts of the program, their performance projections for the Cluster and the Booster leading to the separation decisions for the application and finally the actual implementation work. In addition to that some performance results are presented.
000279818 536__ $$0G:(DE-HGF)POF3-513$$a513 - Supercomputer Facility (POF3-513)$$cPOF3-513$$fPOF III$$x0
000279818 7001_ $$0P:(DE-Juel1)138688$$aZitz, Anke$$b1
000279818 7001_ $$0P:(DE-Juel1)132090$$aEicker, Norbert$$b2
000279818 7001_ $$0P:(DE-HGF)0$$aLapenta, Giovanni$$b3
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