Abstract
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 Jülich 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.
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Project ACID 12863
References
Aasi, J., Abadie, J., Abbott, B.P., Abbott, R., Abbott, T.D., Abernathy, M., Accadia, T., Acernese, F., Adams, C., Adams, T., et al.: Einstein@Home all-sky search for periodic gravitational waves in LIGO S5 data. Phys. Rev. D 87, 042001 (2013)
Astone, P., Borkowski, K.M., Jaranowski, P., Pietka, M., Królak, A.: Data analysis of gravitational-wave signals from spinning neutron stars. V.A narrow-band all-sky search. Phys. Rev. D 82, 022005 (2010)
Attig, N., Esser, R., Gibbon, P.: Simulation laboratories: an innovative community-oriented research and support structure. In: Bubak, M., Turala, M., Wiatr, K. (eds.) Proceedings of the Cracow Grid Workshop (CGW’07), Krakow (2008)
Happe, J.: Predicting Software Performance in Symmetric Multi-core and Multiprocessor Environments. The Karlsruhe Series on Software Design and Quality. Volume 3, Universittsverlag Karlsruhe, Karlsruhe (2009). http://dx.doi.org/10.5445/KSP/1000011806
Heck, D., Knapp, J., Capdevielle, J.N., Schatz, G., Thouw T.: CORSIKA: a Monte Carlo code to simulate extensive air showers, 90 pages, 10 figures: Forschungszentrum Karlsruhe Report FZKA 6019 (1998)
Heck, D., Pierog, T., Engel, R., Thiara, G., Karla, S., Singla, H., Poghosyan, G., Seldner, D., Schmitz, F.: Computational Methods in Science and Engineering, pp. 87–90. KIT Scientific Publishing (2011). http://dx.doi.org/10.5445/KSP/1000023323
Jaranowski, P., Królak, A., Schutz, B.F.: Data analysis of gravitational-wave signals from spinning neutron stars: the signal and its detection. Phys. Rev. D 58, 063001 (1998)
Lee, E.A.: The problem with threads. IEEE Comput. 39(5): 33–42 (2006)
Poghosyan, G., Seldner, D., Schmitz, F.: Simulation laboratory astro- and elementary particle physics. In: Computational Methods in Science and Engineering, Proceedings Workshop SimLabs@KIT, Karlsruhe, Nov 2011, pp. 77–84. KIT Scientific Publishing. http://dx.doi.org/10.5445/KSP/1000023323 (2011)
Rodgers, D.P.: Improvements in multiprocessor system design. SIGARCH Comput. Archit. News 13, 225–231 (1985)
Typel, S., Röpke, G., Klähn, T., Blaschke, D., Wolter, H.H.: Composition and thermodynamics of nuclear matter with light clusters. Phys. Rev. C 81, 015803 (2010)
Typel, S., Wolter, H.H., Röpke, G., Blaschke, D.: Effects of the liquid-gas phase transition and cluster formation on the symmetry energy. Eur. Phys. J. A 50, 17 (2014)
Vatsa, V.N.: Parallelization of a multiblock flow code: an engineering implementation. Comput. Fluids 38(4–5), 603–614 (1999)
Acknowledgements
The developments of codes and massivly parallel simulations, were possible by using Cray XE6 Hermit at High Performance Computing Center HLRS in Stuttgart.Footnote 3 The work of G.Poghosyan and A.Streit were supported by the Helmholtz ”Supercomputing” program. S.Sharma, A. Kaur, V.Jindal, P.Bisht thank the Karlsruhe Institute of Technology and PEC University of Technolody for support and hospitability during their internship visits to SimLab E&A Particles. The work of M.Bejger and A.Krolak was supported in part by the Polish Ministry of Science and Higher Education grant DPN/N176/VIRGO/2009 and National Science Center grants UMO-2013/01/ASPERA/ST9/00001 and 2012/07/B/ST9/04420. The work of S. Typel was was supported by the Helmholtz Association (HGF) through the Nuclear Astrophysics Virtual Institute (VH-VI-417). T.Klaehn acknowledges support from the National Science Center of Poland under grant number 2013/09/B/ST2/01560.
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Poghosyan, G. et al. (2015). High-Level Support Activities of Simulation Laboratory E&A Particles. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ‘14. Springer, Cham. https://doi.org/10.1007/978-3-319-10810-0_9
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