KIT – University of the State of Baden-Württemberg and National Large-scale Research Center of the Helmholtz Association www.kit.edu Steinbuch Centre for Computing (SCC) S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing Gevorg Poghosyan
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S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing
S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing. Gevorg Poghosyan. Karlsruhe Institute of Technology (KIT). 18.500. Employees. 8.000. Students. 700. 300. Professors. annual budget in Million Euros. The cooperation of - PowerPoint PPT Presentation
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KIT – University of the State of Baden-Württemberg andNational Large-scale Research Center of the Helmholtz Association www.kit.edu
Steinbuch Centre for Computing (SCC)
S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing
Gevorg Poghosyan
2 11.10.2009 Steinbuch Centre for Computing (SCC)
Scientific Computing Lab (SCL)
Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing
Karlsruhe Institute of Technology (KIT)
8.000
Employees
300Professors
18.500
Students
700
annual budget in Million Euros
The cooperation of Forschungszentrum Karlsruhe GmbH Universität Karlsruhe (TH)
KIT Research Centers: Energy Nano & Micro Science and Technology Elementary Particle and Astroparticle Physics Climate and Environment
3 11.10.2009 Steinbuch Centre for Computing (SCC)
Scientific Computing Lab (SCL)
Gevorg Poghosyan – S.P.O.R.A.-dic changes of scientific simulation codes for high performance distributed computing
Developing software for KCETA (KIT Center Elementary Particle and Astroparticle Physics)
Cosmic Rays (Augger, Kascade-grande)
Extended and intensified search for Dark Matter (EDELWEISS)
Flavour Physics - Quantum Field Theory: Quark Matter Physics
Neutrino Physics (KATRIN)
Experimental and Theoretical Collider Physics (LHC)
Support as S.P.O.R.A.-dic changes for present and developable codesStandardization – code re-engineering: object oriented, I/O data format standardization
Parallelization – exploitation of code to find parallelization strategies