Electromagnetic physics models for parallel computing architectures

Journal Article · Mon Nov 21 00:00:00 EST 2016 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/762/1/012014· OSTI ID:1346376

Amadio, G. ^[1]; Ananya, A. ^[2]; Apostolakis, J. ^[2]; Aurora, A. ^[2]; Bandieramonte, M. ^[2]; Bhattacharyya, A. ^[3]; Bianchini, C. ^[4]; Brun, R. ^[2]; Canal, P. ^[5]; Carminati, F. ^[2]; Duhem, L. ^[6]; Elvira, D. ^[5]; Gheata, A. ^[2]; Gheata, M. ^[7]; Goulas, I. ^[2]; Iope, R. ^[1]; Jun, S. Y. ^[5]; Lima, G. ^[5]; Mohanty, A. ^[3]; Nikitina, T. ^[2] ; Novak, M. ^[2]; Pokorski, W. ^[2]; Ribon, A. ^[2]; Seghal, R. ^[3]; Shadura, O. ^[2]; Vallecorsa, S. ^[2]; Wenzel, S. ^[2]; Zhang, Y. ^[2]

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1. Sao Paulo State Univ. (UNESP), Sao Paulo (Brazil)
2. European Organization for Nuclear Research (CERN), Geneva (Switzerland)
3. Bhabha Atomic Research Centre (BARC), Mumbai (India)
4. Sao Paulo State Univ. (UNESP), Sao Paulo (Brazil); Mackenzie Presbyterian Univ., Sao Paulo (Brazil)
5. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
6. Intel Corp., Santa Clara, CA (United States)
7. European Organization for Nuclear Research (CERN), Geneva (Switzerland); Institute of Space Sciences, Bucharest-Magurele (Romania)

The recent emergence of hardware architectures characterized by many-core or accelerated processors has opened new opportunities for concurrent programming models taking advantage of both SIMD and SIMT architectures. GeantV, a next generation detector simulation, has been designed to exploit both the vector capability of mainstream CPUs and multi-threading capabilities of coprocessors including NVidia GPUs and Intel Xeon Phi. The characteristics of these architectures are very different in terms of the vectorization depth and type of parallelization needed to achieve optimal performance. In this paper we describe implementation of electromagnetic physics models developed for parallel computing architectures as a part of the GeantV project. Finally, the results of preliminary performance evaluation and physics validation are presented as well.

• Research Organization: Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• Grant/Contract Number: AC02-07CH11359
• OSTI ID: 1346376
• Report Number(s): FERMILAB-CONF-16-652-CD; 1499960; TRN: US1701229
• Journal Information: Journal of Physics. Conference Series, Vol. 762, Issue 1; ISSN 1742-6588
• Publisher: IOP Publishing
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING