Track 1: Computing Technology for Physics Research

Track convenors:

David Britton

Jerome Lauret

Axel Naumann

  1. Programming languages, software quality, IDE and User Interfaces
    • Programming languages
    • Software quality assurance
    • IDE and frameworks
    • User Interfaces, Common Libraries
  2. Distributed and parallel computing
    • Multilevel parallelism
    • Distributed computing
    • GRID and Cloud computing
  3. New architectures, many-cores
    • Many-core
    • Accelerator-based computing
    • High precision computing (hardware)
  4. Virtualisation
  5. Online Monitoring and Control
    • High Level Triggering

Track 2: Data Analysis – Algorithms and Tools

Track convenors

Thomas Speer

Pedro Teixeira-Dias

  1. Machine and statistical learning
    • Supervised, unsupervised and ensemble learning
    • Classification, clustering and regression methods
    • Pattern recognition algorithms
  2. Computational intelligence algorithms
    • Artificial and Bayesian Neural Networks
    • Evolutionary Algorithms and other Nature-inspire methods
    • Automation of science: data to formula
  3. Advanced data analysis environments
    • Advanced statistical data analysis
    • Multivariate data analysis
    • Data mining
  4. Simulation, reconstruction and visualisation techniques
    • Detector and accelerator simulations, MC and fast MC
    • Reconstruction algorithms
    • Visualization techniques and event displays
  5. Quantum and bio-computing techniques

Track 3: Computations in Theoretical Physics – Techniques and Methods

Track convenors

Nigel Glover

Gudrun Heinrich

  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 order calculations
    • One-loop event generators
    • Multi-loop calculations and higher order corrections
  3. Computer algebra techniques and applications