Conveners
Computing in HEP
- Ian Fisk (Fermi National Accelerator Laboratory (FNAL))
- Michael Ernst (BNL, ATLAS)
Computing in HEP
- Ian Fisk (Fermi National Accelerator Laboratory (FNAL))
- Michael Ernst (BNL, ATLAS)
Prof.
Sudhir Malik
(University of Nebraska/FNAL)
11/08/2011, 10:30
Computing in HEP
Parallel contribution
The CMS (Compact Muon Solenoid) experiment is one of the two large general-purpose particle physics detectors built at the LHC (Large Hadron Collider) at CERN in Geneva, Switzerland. In order to meet the challenges of designing and building a detector of the technical complexity of CMS, a globally distributed collaboration has been assembled with different backgrounds, expertise, and...
Dr
Sergey Panitkin
(Department of Physics - Brookhaven National Laboratory (BNL))
11/08/2011, 11:00
Computing in HEP
Parallel contribution
In 2010 and 2011 the ATLAS Collaboration at LHC collected a large volume
of data and published a number of ground breaking papers. The Grid-based
ATLAS distributed computing infrastructure played a crucial role in
enabling timely analysis of the data. We will present the architecture
and general features of the ATLAS distributed analysis system, and
discuss the performance of the...
Kenneth Bloom
(Department of Physics and Astronomy-University of Nebraska)
11/08/2011, 11:30
Computing in HEP
Parallel contribution
After years of development, the CMS distributed computing system is now in full operation. The LHC continues to set records for instantaneous luminosity, recording data at 300 Hz. Because of the intensity of the beams, there are multiple proton-proton interactions per beam crossing, leading to larger and larger event sizes and processing times. The CMS computing system has responded admirably...
Peter Van Gemmeren
(Argonne National Laboratory)
11/08/2011, 12:00
Computing in HEP
Parallel contribution
The ATLAS detector [1] at CERN has completed its first full year of recording collisions at 7 TeV, resulting in billions of events and petabytes of data. At these scales, physicists must have the capability to read only the data of interest to their analyses, with the importance of efficient selective access increasing as data taking continues.
ATLAS has developed a sophisticated...
Dr
Alexandre Vaniachine
(Argonne)
12/08/2011, 10:30
Computing in HEP
Parallel contribution
ATLAS detector is in the second year of the LHC long run. A starting point for ATLAS physics analysis is data reconstruction. Following the prompt reconstruction, the ATLAS data is reprocessed. The reprocessing allows reconstruction of the data with improved software and updated calibrations, which provides the coherence and improves physics quality of the reconstructed data.
The...
Dr
Robert W Gardner
(University of Chicago)
12/08/2011, 10:50
Computing in HEP
Parallel contribution
DRAFT
We discuss the US ATLAS experience in deploying, integrating and operating a set of distributed computing centers into a single, logical computing facility suitable to meet the simulation and analysis requirements for the first years of LHC physics. Particular attention is paid to the Tier 2 layer in the LHC computing hierarchy, which is a focal point of activity supporting centrally...
Dr
Alden Stradling
(UT Arlington)
12/08/2011, 11:10
Computing in HEP
Parallel contribution
The PanDA Distributed Analysis system has been used in the ATLAS collaboration and beyond as a resilient and scalable distributed processing and analysis system. Using a central pull and distributed push (pilot job) model for task definition and job tracking, it integrates with many kinds of local batch system, data management software, and security models.
One of the principal challenges...
