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Title: First experience of vectorizing electromagnetic physics models for detector simulation

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.
 [1] ;  [2] ;  [3] ;  [4] ;  [2] ;  [2] ;  [5] ;  [2] ;  [6] ;  [7] ;  [5] ;  [2] ;  [5] ;  [5] ;  [2] ;  [8] ;  [2] ;  [8] ;  [2]
  1. Sao Paulo State U.
  2. CERN
  3. Catania Astrophys. Observ.
  4. Mackenzie Presbiteriana U.
  5. Fermilab
  6. U. Copenhagen (main)
  7. Intel, Santa Clara
  8. Bhabha Atomic Res. Ctr.
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Journal Name: J.Phys.Conf.Ser.; Journal Volume: 664; Journal Issue: 9; Conference: 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 04/13-04/17/2015
Research Org:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States