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Title: Electromagnetic physics models for parallel computing architectures

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.
Authors:
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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)
Publication Date:
Report Number(s):
FERMILAB-CONF-16-652-CD
Journal ID: ISSN 1742-6588; 1499960; TRN: US1701229
Grant/Contract Number:
AC02-07CH11359
Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 762; Journal Issue: 1; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Research Org:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1346376