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Title: Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project

Abstract

An intensive R&D and programming effort is required to accomplish new challenges posed by future experimental high-energy particle physics (HEP) programs. The GeantV project aims to narrow the gap between the performance of the existing HEP detector simulation software and the ideal performance achievable, exploiting latest advances in computing technology. The project has developed a particle detector simulation prototype capable of transporting in parallel particles in complex geometries exploiting instruction level microparallelism (SIMD and SIMT), task-level parallelism (multithreading) and high-level parallelism (MPI), leveraging both the multi-core and the many-core opportunities. We present preliminary verification results concerning the electromagnetic (EM) physics models developed for parallel computing architectures within the GeantV project. In order to exploit the potential of vectorization and accelerators and to make the physics model effectively parallelizable, advanced sampling techniques have been implemented and tested. In this paper we introduce a set of automated statistical tests in order to verify the vectorized models by checking their consistency with the corresponding Geant4 models and to validate them against experimental data.

Authors:
 [1];  [2];  [2];  [3];  [2];  [4];  [2];  [2];  [5];  [4];  [2];  [6];  [7];  [2];  [2];  [4];  [2];  [3];  [2];  [4] more »;  [2];  [2];  [2];  [2];  [3];  [2];  [6];  [2] « less
  1. Parallel Computing Center at Sao Paulo State University (UNESP), Sao Paulo (Brazil)
  2. CERN, Meyrin (Switzerland)
  3. Bhabha Atomic Research Centre (BARC), Mumbai (India)
  4. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  5. Intel Corp., Santa Clara, CA (United States)
  6. CERN, Meyrin (Switzerland); Intel Corp., Santa Clara, CA (United States)
  7. CERN, Meyrin (Switzerland); Inst. of Space Sciences, Bucharest-Magurele (Romania)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
OSTI Identifier:
1420918
Report Number(s):
[FERMILAB-CONF-16-757-CD]
[Journal ID: ISSN 1742-6588; 1638288]
Grant/Contract Number:  
[AC02-07CH11359]
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
[ Journal Volume: 898; Journal Issue: 4; Conference: 22nd International Conference on Computing in High Energy and Nuclear Physics, San Francisco, CA (United States), 10-14 Oct 2016]; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 97 MATHEMATICS AND COMPUTING

Citation Formats

Amadio, G., Apostolakis, J., Bandieramonte, M., Behera, S. P., Brun, R., Canal, P., Carminati, F., Cosmo, G., Duhem, L., Elvira, D., Folger, G., Gheata, A., Gheata, M., Goulas, I., Hariri, F., Jun, S. Y., Konstantinov, D., Kumawat, H., Ivantchenko, V., Lima, G., Nikitina, T., Novak, M., Pokorski, W., Ribon, A., Seghal, R., Shadura, O., Vallecorsa, S., and Wenzel, S. Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project. United States: N. p., 2017. Web. doi:10.1088/1742-6596/898/4/042019.
Amadio, G., Apostolakis, J., Bandieramonte, M., Behera, S. P., Brun, R., Canal, P., Carminati, F., Cosmo, G., Duhem, L., Elvira, D., Folger, G., Gheata, A., Gheata, M., Goulas, I., Hariri, F., Jun, S. Y., Konstantinov, D., Kumawat, H., Ivantchenko, V., Lima, G., Nikitina, T., Novak, M., Pokorski, W., Ribon, A., Seghal, R., Shadura, O., Vallecorsa, S., & Wenzel, S. Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project. United States. doi:10.1088/1742-6596/898/4/042019.
Amadio, G., Apostolakis, J., Bandieramonte, M., Behera, S. P., Brun, R., Canal, P., Carminati, F., Cosmo, G., Duhem, L., Elvira, D., Folger, G., Gheata, A., Gheata, M., Goulas, I., Hariri, F., Jun, S. Y., Konstantinov, D., Kumawat, H., Ivantchenko, V., Lima, G., Nikitina, T., Novak, M., Pokorski, W., Ribon, A., Seghal, R., Shadura, O., Vallecorsa, S., and Wenzel, S. Sun . "Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project". United States. doi:10.1088/1742-6596/898/4/042019. https://www.osti.gov/servlets/purl/1420918.
@article{osti_1420918,
title = {Verification of Electromagnetic Physics Models for Parallel Computing Architectures in the GeantV Project},
author = {Amadio, G. and Apostolakis, J. and Bandieramonte, M. and Behera, S. P. and Brun, R. and Canal, P. and Carminati, F. and Cosmo, G. and Duhem, L. and Elvira, D. and Folger, G. and Gheata, A. and Gheata, M. and Goulas, I. and Hariri, F. and Jun, S. Y. and Konstantinov, D. and Kumawat, H. and Ivantchenko, V. and Lima, G. and Nikitina, T. and Novak, M. and Pokorski, W. and Ribon, A. and Seghal, R. and Shadura, O. and Vallecorsa, S. and Wenzel, S.},
abstractNote = {An intensive R&D and programming effort is required to accomplish new challenges posed by future experimental high-energy particle physics (HEP) programs. The GeantV project aims to narrow the gap between the performance of the existing HEP detector simulation software and the ideal performance achievable, exploiting latest advances in computing technology. The project has developed a particle detector simulation prototype capable of transporting in parallel particles in complex geometries exploiting instruction level microparallelism (SIMD and SIMT), task-level parallelism (multithreading) and high-level parallelism (MPI), leveraging both the multi-core and the many-core opportunities. We present preliminary verification results concerning the electromagnetic (EM) physics models developed for parallel computing architectures within the GeantV project. In order to exploit the potential of vectorization and accelerators and to make the physics model effectively parallelizable, advanced sampling techniques have been implemented and tested. In this paper we introduce a set of automated statistical tests in order to verify the vectorized models by checking their consistency with the corresponding Geant4 models and to validate them against experimental data.},
doi = {10.1088/1742-6596/898/4/042019},
journal = {Journal of Physics. Conference Series},
number = [4],
volume = [898],
place = {United States},
year = {2017},
month = {10}
}

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