Author(s): Amadio, G. [UNESP] ; Ananya, A. ; Apostolakis, J. ; Aurora, A. ; Bandieramonte, M. ; Bhattacharyya, A. ; Bianchini, C. [UNESP] ; Brun, R. ; Canal, P. ; Carminati, F. ; Duhem, L. ; Elvira, D. ; Gheata, A. ; Gheata, M. ; Goulas, I. ; Iope, R. [UNESP] ; Jun, S. Y. ; Lima, G. ; Mohanty, A. ; Nikitina, T. ; Novak, M. ; Pokorski, W. ; Ribon, A. ; Seghal, R. ; Shadura, O. ; Vallecorsa, S. ; Wenzel, S. ; Zhang, Y.
Date: 2018
Persistent ID: http://hdl.handle.net/11449/169199
Origin: Oasisbr
Made available in DSpace on 2018-12-11T16:44:53Z (GMT). No. of bitstreams: 0 Previous issue date: 2016-11-21
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.
Parallel Computing Center at São Paulo State University (UNESP)
CERN EP Department
Bhabha Atomic Research Centre (BARC)
Fermilab MS234, P.O. Box 500
Intel Corporation
Mackenzie Presbyterian University
Institute of Space Sciences
Parallel Computing Center at São Paulo State University (UNESP)
