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Title: Progress in Machine Learning Studies for the CMS Computing Infrastructure

Abstract

Here, computing systems for LHC experiments developed together with Grids worldwide. While a complete description of the original Grid-based infrastructure and services for LHC experiments and its recent evolutions can be found elsewhere, it is worth to mention here the scale of the computing resources needed to fulfill the needs of LHC experiments in Run-1 and Run-2 so far.

Authors:
 [1];  [2];  [3];  [1];  [4];  [4];  [4]
  1. Univ. of Bologna (Italy)
  2. Cornell Univ., Ithaca, NY (United States)
  3. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  4. Vilnius Univ. (Lithuania)
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:
1420911
Report Number(s):
FERMILAB-CONF-17-649
Journal ID: ISSN 1824-8039; 1642348
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
PoS Proceedings of Science
Additional Journal Information:
Journal Volume: 293; Journal ID: ISSN 1824-8039
Publisher:
SISSA
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Bonacorsi, Daniele, Kuznetsov, Valentin, Magini, Nicolo, Diotalevi, Tommaso, Repeccka, Aurimas, Matonis, Zygimantas, and Kancis, Kipras. Progress in Machine Learning Studies for the CMS Computing Infrastructure. United States: N. p., 2017. Web. doi:10.22323/1.293.0023.
Bonacorsi, Daniele, Kuznetsov, Valentin, Magini, Nicolo, Diotalevi, Tommaso, Repeccka, Aurimas, Matonis, Zygimantas, & Kancis, Kipras. Progress in Machine Learning Studies for the CMS Computing Infrastructure. United States. doi:10.22323/1.293.0023.
Bonacorsi, Daniele, Kuznetsov, Valentin, Magini, Nicolo, Diotalevi, Tommaso, Repeccka, Aurimas, Matonis, Zygimantas, and Kancis, Kipras. Wed . "Progress in Machine Learning Studies for the CMS Computing Infrastructure". United States. doi:10.22323/1.293.0023. https://www.osti.gov/servlets/purl/1420911.
@article{osti_1420911,
title = {Progress in Machine Learning Studies for the CMS Computing Infrastructure},
author = {Bonacorsi, Daniele and Kuznetsov, Valentin and Magini, Nicolo and Diotalevi, Tommaso and Repeccka, Aurimas and Matonis, Zygimantas and Kancis, Kipras},
abstractNote = {Here, computing systems for LHC experiments developed together with Grids worldwide. While a complete description of the original Grid-based infrastructure and services for LHC experiments and its recent evolutions can be found elsewhere, it is worth to mention here the scale of the computing resources needed to fulfill the needs of LHC experiments in Run-1 and Run-2 so far.},
doi = {10.22323/1.293.0023},
journal = {PoS Proceedings of Science},
number = ,
volume = 293,
place = {United States},
year = {2017},
month = {12}
}

Journal Article:
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