Title: Integration of Russian Tier-1 Grid Center with High Performance Computers at NRC-KI for LHC experiments and beyond HENP

Journal Article · · Journal of Physics. Conference Series
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  1. National Research Centre (NRC), Moscow (Russian Federation). Kurchatov Inst. (NRCKI)
  2. European Organization for Nuclear Research (CERN), Geneva (Switzerland)
  3. Univ. of Texas, Arlington, TX (United States)
  4. National Research Centre (NRC), Moscow (Russian Federation). Kurchatov Inst. (NRCKI); Brookhaven National Lab. (BNL), Upton, NY (United States)
  5. National Research Centre (NRC), Moscow (Russian Federation). Kurchatov Inst. (NRCKI); Russian Academy of Sciences (RAS), Moscow (Russian Federation). Lebedev Inst. of Physics
  6. Univ. of Texas, Arlington, TX (United States); Joint Inst. for Nuclear Research (JINR), Dubna (Russian Federation)
  7. National Research Centre (NRC), Moscow (Russian Federation). Kurchatov Inst. (NRCKI); Moscow Inst. of Physics and Technology (MIPT), Moscow (Russian Federation)

The LHC experiments are preparing for the precision measurements and further discoveries that will be made possible by higher LHC energies from April 2015 (LHC Run2). The need for simulation, data processing and analysis would overwhelm the expected capacity of grid infrastructure computing facilities deployed by the Worldwide LHC Computing Grid (WLCG). To meet this challenge the integration of the opportunistic resources into LHC computing model is highly important. The Tier-1 facility at Kurchatov Institute (NRC-KI) in Moscow is a part of WLCG and it will process, simulate and store up to 10% of total data obtained from ALICE, ATLAS and LHCb experiments. In addition Kurchatov Institute has supercomputers with peak performance 0.12 PFLOPS. The delegation of even a fraction of supercomputing resources to the LHC Computing will notably increase total capacity. In 2014 the development a portal combining a Tier-1 and a supercomputer in Kurchatov Institute was started to provide common interfaces and storage. The portal will be used not only for HENP experiments, but also by other data- and compute-intensive sciences like biology with genome sequencing analysis; astrophysics with cosmic rays analysis, antimatter and dark matter search, etc.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Organization:
USDOE; USDOE Office of Science
Grant/Contract Number:
AC02-06CH11357; AC02-98CH10886; SC0012704
OSTI ID:
1567386
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Journal Issue: 9 Vol. 664; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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PanDA: distributed production and distributed analysis system for ATLAS journal July 2008
The ATLAS PanDA Monitoring System and its Evolution journal December 2011
Multilevel Workflow System in the ATLAS Experiment journal May 2015
Computing for the Large Hadron Collider journal November 2011

Cited By (1)

High-Throughput Computing on High-Performance Platforms: A Case Study conference October 2017