CERN Accelerating science

Published Articles
Report number	FERMILAB-CONF-15-597-CD
Title	First experience of vectorizing electromagnetic physics models for detector simulation
Author(s)	Amadio, G (Sao Paulo State U.) ; Apostolakis, J (CERN) ; Bandieramonte, M (Catania Astrophys. Observ.) ; Bianchini, C (Sao Paulo State U. ; Mackenzie Presbiteriana U.) ; Bitzes, G (CERN) ; Brun, R (CERN) ; Canal, P (Fermilab) ; Carminati, F (CERN) ; de Fine Licht, J (U. Copenhagen (Main)) ; Duhem, L (Intel, Santa Clara) ; Elvira, D (Fermilab) ; Gheata, A (CERN) ; Jun, S Y (Fermilab) ; Lima, G (Fermilab) ; Novak, M (CERN) ; Presbyterian, M (Bhabha Atomic Res. Ctr.) ; Shadura, O (CERN) ; Seghal, R (Bhabha Atomic Res. Ctr.) ; Wenzel, S (CERN)
Publication	2015
Number of pages	6
In:	J. Phys.: Conf. Ser. 664 (2015) 092013
In:	21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.092013
DOI	10.1088/1742-6596/664/9/092013
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. The GeantV vector prototype for detector simulations 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, parallelization needed to achieve optimal performance or memory access latency and speed. An additional challenge is to avoid the code duplication often inherent to supporting heterogeneous platforms. In this paper we present the first experience of vectorizing electromagnetic physics models developed for the GeantV project.
Copyright/License	publication: © 2015-2025 The Author(s) (License: CC-BY-3.0)

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