Progress in Machine Learning Studies for the CMS Computing Infrastructure

Journal Article · Wed Dec 06 00:00:00 EST 2017 · PoS Proceedings of Science

DOI:https://doi.org/10.22323/1.293.0023· OSTI ID:1420911

Bonacorsi, Daniele ^[1]; Kuznetsov, Valentin ^[2]; Magini, Nicolo ^[3]; Diotalevi, Tommaso ^[1]; Repeccka, Aurimas ^[4]; Matonis, Zygimantas ^[4]; Kancis, Kipras ^[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)

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.

• 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: 1420911
• Report Number(s): FERMILAB-CONF-17-649; 1642348
• Journal Information: PoS Proceedings of Science, Vol. 293; ISSN 1824-8039
• Publisher: SISSA
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING