The tracks of CHEP 2010 are divided into two complementary views of HEP computing: Major Functional Areas and Major Technology Areas. The list of conference tracks and the scope of topics to be covered are as follows:


Major Functional Areas

Online Computing

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

Event Processing
(everything that happens within one executable that processes events – reconstruction, simulation, analysis, event data model …)

  • Event generation, simulation, and reconstruction
  • Detector geometries
  • Physics analysis
  • Tools and Techniques for data classification and parameter fitting
  • Event visualization and data presentation
  • Frameworks for event processing
  • Toolkits for simulation, reconstruction, and analysis
  • Event data models

Distributed Processing and Analysis
(everything that happens on a multi job and/or multi-site level – workflow management, data management …)

  • Distributed data processing
  • Data management
  • Distributed analysis
  • Distributed processing experience including experience with Grids and Clouds
  • Experience with real productions and data challenges
  • Experience with real analysis using distributed resources
  • Interactive analysis using distributed resources
  • Solutions for coping with a heterogeneous environment
  • Experience with virtualization
  • Mobile computing
  • Monitoring of user jobs and data


Major Technology Areas

Software Engineering, Data Stores, and Databases

  • Programming techniques and tools
  • Software testing and quality assurance
  • Configuration management
  • Software build, release, and distribution tools
  • Documentation
  • Foundation and utility libraries
  • Mathematical libraries
  • Component models
  • Object dictionaries
  • Scripting
  • Event stores
  • Metadata and supporting infrastructure
  • Databases

Computing Fabrics and Networking Technologies

  • Basic hardware, benchmarks and experience
  • Hardware trends and issues such as multi-core, GPU, FPGA…
  • Fabric virtualization
  • Fabric management and administration
  • Local site I/O and data access
  • Mass storage systems
  • Local and wide area networking

Grid and Cloud Middleware

  • Grid/Cloud middleware and monitoring tools
  • Grid/Cloud middleware interoperability
  • Grid/Cloud reliability
  • Grid /Cloud security
  • Evolution of Grids and Clouds
  • Global usage and management of resources
  • Experiment-specific middleware applications

Collaborative Tools

  • Collaborative systems, progress in technologies and applications
  • Advanced teleconferencing systems
  • Experience in the use of teleconferencing tools