Track conveners

• Track 1 - "Computing Technology for Physics Research"
  
  • Axel Naumann
  • Jerome Lauret
• Track 2 - "Data Analysis - Algorithms and Tools"
  • Thomas Speer
  • Liliana Teodorescu
• Track 3 - "Methodology of Computations in Theoretical Physics"
  • Peter Uwer
  • Fawzi Boudjema
• Multicore-related subjects
  • Sverre Jarp

1. Computing Technology for Physics Research 

   1. Languages, Software quality, IDE and User Interfaces
      • Languages (new C++ standard, Java, ...)
      • Software quality assurance; code reflection; documentation, performance and debugging tools
      • IDE and frameworks
      • User Interfaces, Common Libraries.
   2. Distributed and Parallel Computing
      • Multilevel parallelism
      • Distributed computing
      • GRID and Cloud computing
   3. New architectures, many and multi-cores
      • Many-core
      • accelerator-based computing (GPU, etc)
      • High precision computing (hardware)
   4. Virtualisation
   5. Online Monitoring and Control
      • High Level Triggering (HLT)

2. Data Analysis - Algorithms and Tools

   1. Machine Learning
      • Neural Networks and Other Pattern Recognition Techniques
      • Evolutionary and Genetic Algorithms
      • Automation of Science: Data to formula
   2. Advanced Data Analysis Environments
      • Statistical Methods, Multivariate analysis
      • Data mining
   3. Simulation, Reconstruction and Visualisation Techniques
      • Detector and Accelerator Simulations, MC and fast MC
      • Reconstruction Algorithms
      • Visualization Techniques; event displays
   4. Advanced Computing
      • Quantum Computing
      • Bio Computing: life process simulation, brain simulation, Quantum biology

3. Computations in Theoretical Physics: Techniques and Methods

   1. Automatic Systems
      • Automatic Computation Systems: from Processes to Event Generators
      • Multi-dimensional Integration and Event Generators
      • Intensive High Precision Numerical Computations: Algorithms and Systems
   2. Higher orders
      • One-loop event generators
      • Multi-loop Calculations and Higher Order Corrections
   3. Computer Algebra Techniques and Applications