Published June 11, 2014 | Version v1
Journal article

Leveraging HPC resources for High Energy Physics

  • 1. SUPA, School of Physics and Astronomy, The University of Edinburgh, James Clerk Maxwell Building, Mayfield Road, Edinburgh, EH9 3JZ (United Kingdom)
  • 2. Ludwig-Maximilians-Universitat Muchen, Munchen (Germany)

Description

High Performance Computing (HPC) supercomputers provide unprecedented computing power for a diverse range of scientific applications. The most powerful supercomputers now deliver petaflop peak performance with the expectation of 'exascale' technologies available in the next five years. More recent HPC facilities use x86-based architectures managed by Linux-based operating systems which could potentially allow unmodified HEP software to be run on supercomputers. There is now a renewed interest from both the LHC experiments and the HPC community to accommodate data analysis and event simulation production on HPC facilities. This study provides an outline of the challenges faced when incorporating HPC resources for HEP software by using the HECToR supercomputer as a demonstrator.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/513/3/032104

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
513
Journal Issue
3
Journal Page Range
[5 p.]
ISSN
1742-6596

Conference

Title
20. international conference on computing in high energy and nuclear physics
Acronym
CHEP2013
Dates
14-18 Oct 2013
Place
Amsterdam (Netherlands)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46083245
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CERN LHC; COMMUNITIES; COMPUTER ARCHITECTURE; COMPUTER CODES; DATA ANALYSIS; HIGH ENERGY PHYSICS; PERFORMANCE; RESOURCES; SIMULATION; SUPERCOMPUTERS
Descriptors DEC
ACCELERATORS; COMPUTERS; CYCLIC ACCELERATORS; DATA PROCESSING; DIGITAL COMPUTERS; PHYSICS; PROCESSING; STORAGE RINGS; SYNCHROTRONS