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

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:
Report Number(s):
FERMILAB-CONF-17-649
1642348
Grant/Contract Number:
AC02-07CH11359
Type:
Accepted Manuscript
Journal Name:
PoS
Additional Journal Information:
Journal Volume: ISGC2017
Research Org:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1420911

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., 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. 2017. "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},
number = ,
volume = ISGC2017,
place = {United States},
year = {2017},
month = {12}
}