Overview over the High Energy Physics Community Grid in Germany’s D-Grid Initiative

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung


  • Stefan Borovac - , University of Wuppertal (Autor:in)
  • Torsten Harenberg - , University of Wuppertal (Autor:in)
  • David Meder-Marouelli - , University of Wuppertal (Autor:in)
  • Peter Mättig - , University of Wuppertal (Autor:in)
  • Markus Mechtel - , University of Wuppertal (Autor:in)
  • Ralph Müller-Pfefferkorn - , Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) (Autor:in)
  • Reinhard Neumann - , Technische Universität Dresden (Autor:in)
  • Thomas William - , Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH) (Autor:in)
  • Peter Buchholz - , Universität Siegen (Autor:in)
  • Daniel Lorenz - , Universität Siegen (Autor:in)
  • Christian Uebing - , Universität Siegen (Autor:in)
  • Wolfgang Walkowiak - , Universität Siegen (Autor:in)
  • Roland Wismüller - , Universität Siegen (Autor:in)
  • Peer Ueberholz - , Niederrhein University of Applied Sciences (Autor:in)
  • Anar Manafov - , GSI Helmholtz Centre for Heavy Ion Research (Autor:in)
  • Robert Manteufel - , GSI Helmholtz Centre for Heavy Ion Research (Autor:in)
  • Victor Penso - , GSI Helmholtz Centre for Heavy Ion Research (Autor:in)
  • Carsten Preuss - , GSI Helmholtz Centre for Heavy Ion Research (Autor:in)
  • Kilian Schwarz - , GSI Helmholtz Centre for Heavy Ion Research (Autor:in)
  • Günter Duckeck - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Johannes Elmsheuser - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Tariq Mahmoud - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Dorothee Schaile - , Ludwig-Maximilians-Universität München (LMU) (Autor:in)
  • Patrick Fuhrmann - , Deutsches Elektronen-Synchrotron (DESY) (Autor:in)
  • Stefan Freitagh - , Technische Universität (TU) Dortmund (Autor:in)
  • Lars Schley - , Technische Universität (TU) Dortmund (Autor:in)


Today, one of the major challenges in science is the processing of large data sets. Experiments or simulations can produce an enormous amount of intermation that is stored in databases or files. Processing these data is usually done by splitting the analysis process into a large number of small jobs that read only limited fragments of the data and process them in parallel on a Grid. Examples of such a scenario are the processing of images in medicine, gene alignment in bioinformatics, or the analysis of high energy physics data. The Large Hadron Collider (LHC) at CERN will provide particle physicists with several petabytes of experimental data every year. Additionally, simulations of the physics processes and the detector response are needed to understand the experiment. With the LHC Computing Grid (LCG), the High Energy Physics community wants to provide a Grid environment to enable such data processing capabilities. The gLite middleware stack is the base of this Grid effort. The High Energy Particle Physics Community Grid project (HEPCG) of the German D-Grid Initiative wants to contribute to the functionality that the LCG provides to users in the areas of distributed data management, job monitoring and distributed data analysis.


Seiten (von - bis)1-14
FachzeitschriftProceedings of Science
PublikationsstatusVeröffentlicht - 2007


Titel11th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2007
Dauer23 - 27 April 2007
StadtNikhef, Amsterdam

Externe IDs

Scopus 85055414605