Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 03004
Number of page(s) 7
Section T3 - Distributed computing
DOI https://doi.org/10.1051/epjconf/201921403004
Published online 17 September 2019
  1. S Chatrchyan et al. (The CMS Collaboration), The CMS experiment at the CERN LHC JINST 3, S08004 (2008) [Google Scholar]
  2. B Bockelman et al. Exploring GlideinWMS and HTCondor scalability frontiers for an expanding CMS Global Pool, to be published in these proceedings (CHEP 2018) [Google Scholar]
  3. M Cinquilli, D Spiga, C Grandi, J M Hernandez, P Konstantinov, M Mascheroni, H Riahi and E Vaandering, CRAB: Establishing a new generation of services for distributed analysis at CMS, J. Phys. Conf. Ser. , 396(3), 032026 (2012) [Google Scholar]
  4. J Alwall et al., The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations , arXiv:1405.0301 [hep-ph] (2014) [Google Scholar]
  5. J Balcas et al., CMS Connect, J. Phys. Conf. Ser. , 898, 082032 (2017) [Google Scholar]
  6. O Buchmueller et al., The CMS CERN Analysis Facility (CAF), J. Phys. Conf. Ser., 219, 052022 (2010) [Google Scholar]
  7. M Abadi et al., TensorFlow: Large-scale machine learning on heterogeneous systems, arXiv:1603.04467 [cs.DC](2016) [Google Scholar]
  8. D Thain, T Tannenbaum and M Livny, Condor and the Grid, Grid Computing: Making The Global Infrastructure a Reality, ISBN: 0-470-85319-0 (John Wiley & Sons, 2003) [Google Scholar]
  9. J Blomer, C Aguado-Sánchez, P Buncic and A Harutyunyan, Distributing LHC application software and conditions databases using the CernVM file system, J. Phys. Conf. Ser., 331, 042003 (2011) [Google Scholar]
  10. GM Kurtzer, V Sochat, MW Bauer, Singularity: Scientific containers for mobility of compute, PLoS ONE, 12(5): e0177459. (2017) [Google Scholar]
  11. NVIDIA Deep Learning: https://developer.nvidia.com/deep-learning [Google Scholar]
  12. J Nickolls, I Buck, M Garland, and K Skadron. Scalable Parallel Programming with CUDA. Queue 6, 2 , 40–53 (2008) [Google Scholar]
  13. Singularity Software: https://doi.org/10.5281/zenodo.1308868 [Google Scholar]
  14. E Fajardo Hernandez, OSG and GPUs: A tale of two use cases, to be published in these proceedings (CHEP 2018) [Google Scholar]
  15. CVMFS-Singularity-Sync OSG scripts to maintain Singularity images in CVMFS: https://doi.org/10.5281/zenodo.1469012 [Google Scholar]

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