IOP : Electromagnetic Physics Models for Parallel Computing Architectures

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

doi:10.1088/1742-6596/762/1/012014

Published Articles
Report number	FERMILAB-CONF-16-652-CD
Title	Electromagnetic Physics Models for Parallel Computing Architectures
Author(s)	Amadio, G (Sao Paulo State U.) ; Ananya, A (CERN) ; Apostolakis, J (CERN) ; Aurora, A (CERN) ; Bandieramonte, M (CERN) ; Bhattacharyya, A (Bhabha Atomic Res. Ctr.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; Duhem, L (Intel, Santa Clara) ; Elvira, D (Fermilab) ; Gheata, A (CERN) ; Gheata, M (CERN ; Bucharest, Inst. Space Science) ; Goulas, I (CERN) ; Iope, R (Sao Paulo State U.) ; Jun, S Y (Fermilab) ; Lima, G (Fermilab) ; Mohanty, A (Bhabha Atomic Res. Ctr.) ; Nikitina, T (CERN) ; Novak, M (CERN) ; Pokorski, W (CERN) ; Ribon, A (CERN) ; Seghal, R (Bhabha Atomic Res. Ctr.) ; Shadura, O (CERN) ; Vallecorsa, S (CERN) ; Wenzel, S (CERN) ; Zhang, Y (CERN)
Publication	2016
Number of pages	5
In:	J. Phys.: Conf. Ser. 762 (2016) 012014
In:	17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Valparaíso, Valparaíso, Chile, 18 - 22 Jan 2016, pp.012014
DOI	10.1088/1742-6596/762/1/012014
Subject category	Computing and Computers
Abstract	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. Results of preliminary performance evaluation and physics validation are presented as well.
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