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Title: Performance of GeantV EM Physics Models

Journal Article · · Journal of Physics. Conference Series
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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 Science, Bucharest-Magurele (Romania)

The recent progress in parallel hardware architectures with deeper vector pipelines or many-cores technologies brings opportunities for HEP experiments to take advantage of SIMD and SIMT computing models. Launched in 2013, the GeantV project studies performance gains in propagating multiple particles in parallel, improving instruction throughput and data locality in HEP event simulation on modern parallel hardware architecture. Due to the complexity of geometry description and physics algorithms of a typical HEP application, performance analysis is indispensable in identifying factors limiting parallel execution. In this report, we will present design considerations and preliminary computing performance of GeantV physics models on coprocessors (Intel Xeon Phi and NVidia GPUs) as well as on mainstream CPUs.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1358095
Report Number(s):
FERMILAB-CONF-17-045-CD; 1599916
Journal Information:
Journal of Physics. Conference Series, Vol. 898, Issue 7; Conference: 22nd International Conference on Computing in High Energy and Nuclear Physics, San Francisco, CA (United States), 14-16 Oct 2016; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

Figures / Tables (4)


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