Programme overview (new window)
Programme (Indico, new window)

CHEP’09 will have plenary and parallel sessions during the weeklong conference. The plenary presentations will focus on topical issues in HEP computing as well as exploring new technologies for the future. The parallel sessions will be based on contributions submitted by the HEP community and will focus on the following areas:

  1. Online Computing (Supported by Aceole)
  2. Event Processing
  3. Software Components, Tools and Databases
  4. Hardware and Computing Fabrics
  5. Grid Middleware and Networking Technologies
  6. Distributed Processing and Analysis
  7. Collaborative Tools


  1. Online Computing -- CPU farms for high-level triggering; Farm configuration and run control; Describing and managing configuration data and conditions databases; Online software frameworks and tools; Online calibration procedures; Remote access to and control of data acquisition systems and experiment facilities.

  2. Event Processing -- Event simulation and reconstruction; Physics analysis; Event visualization and data presentation; Toolkits for simulation and analysis; Event data models

  3. Software Components, tools and databases -- Programming techniques and tools; Software testing; Configuration management; Software build, release and distribution tools; Quality assurance; Documentation; Foundation and utility libraries; Mathematical libraries; Detector geometry models; component models; Object dictionaries; Scripting; Graphics.

  4. Hardware and Computing Fabrics -- Basic hardware, multicore and multiple CPUs, benchmarks and real experience; Fabrics virtualization; Fabrics management and administration; Local/site I/O, access to data, MSS systems.

  5. Grid Middleware and Networking Technologies -- Grid middleware, both experiment specific and generic; Perspectives in middleware development; Middleware reliability and interoperability; Grid middleware configuration, testing, and management tools; Grid monitoring tools; Networks and their relation to grid systems; Grid and WAN data access and transfer; Grid fabrics, its operation and monitoring; Resource management and accounting; Developers and Grid operators experience and issues from Compute and Data Challenges, and real data run.

  6. Distributed Processing and Analysis -- Distributed application experience; Distributed data processing; Distributed analysis; Experience and issues with real productions; Solutions for coping with a heterogeneous environment. Virtualization; Mobile computing; Monitoring of user jobs and data; Interactive analysis over wide area network.

  7. Collaborative Tools -- Collaborative systems, progress in technologies and applications; Advanced videoconferencing systems; Experience in the usage of video-conferencing tools.

Lukas Fiala, FZU AS CR