High-Level Support Activities of Simulation Laboratory E&A Particles

被引:0
|
作者
Poghosyan, G. [1 ]
Sharma, S. [1 ,2 ]
Kaur, A. [1 ,2 ]
Jindal, V. [1 ,2 ]
Bisht, P. [1 ,2 ]
Streit, A. [1 ]
Bejger, M. [3 ]
Krolak, A. [4 ]
Klaehn, T. [5 ]
Typel, S. [6 ]
Oehlschlaeger, J. [7 ]
Pierog, T. [7 ]
Engel, R. [7 ]
机构
[1] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76131 Karlsruhe, Germany
[2] PEC Univ Technol, Chandigarh, India
[3] Polish Acad Sci, N Copernicus Astron Ctr, Warsaw, Poland
[4] Polish Acad Sci, Inst Math, Warsaw, Poland
[5] Uniwersytet Wroclawski, Inst Fiz Teoretycznej, Wroclaw, Poland
[6] GSI Helmholtzzentrum Schwerionenforsch GmbH, Darmstadt, Germany
[7] Karlsruhe Inst Technol, Inst Nucl Phys, D-76131 Karlsruhe, Germany
关键词
D O I
10.1007/978-3-319-10810-0_9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The Simulation Laboratory Elementary Particle and Astropartice Physics (SimLab E&A Particle) is one of the new support instruments recently established in the Steinbuch Centre for Computing (SCC) and Julich Supercomputing Centre (JSC) providing high-level support to supercomputer users. Simulation Laboratory (SimLab) is a community-oriented research and support team of computational scientists with a broad spectrum of competencies from computing to domain-specific knowledge. In collaboration with scientific communities the SimLabs team solves the grand challenge computing problems requiring more than the pure usage of standard services made available by HPC, Grid and Cloud infrastructure providers. The access of SimLab E&A Particles to massively parallel system Cray XE6 Hermit at High Performance Computing Centre HLRS in Stuttgart in framework of Project ACID 12863, is used to work on parallelisation, performance analysis of scalability, efficiency and estimation of potential consumption of CPU time for the codes CORSIKA (for simulation of cosmic rays/air showers), AtomicClusters (evaluation of in-medium properties of nuclear clusters), PolGrawAllSky (for searching of gravitational waves signals). The tests and optimisation of selected simulation codes, allowed us to localise the scientific domains showing strong needs and potential for supercomputing, which will help easily constitute the claim of CPU hours when applying for large scale computation time at national and European supercomputer centres.
引用
收藏
页码:121 / 133
页数:13
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