Difference: MainTopics (1 vs. 4)

Track 1: Computing Technology for Physics Research

1. Languages, Software quality, IDE and User Interfaces
   • Languages (new C++ standard, Java, ...), Code Portability: using templates, toward Compiler
   • Software quality assurance; code reflection; documentation, performance and debugging tools
   • Computer system Benchmarking, beyond LinpackComputer system Benchmarking, beyond Linpack
   • IDE and frameworks
   • User Interfaces, Common Libraries.
2. Distributed and Parallel Computing

• • GRID and Cloud computing

1. New architectures, many and multi-cores
   • Many-core
   • accelerator-based computing (GPU, etc)
   • High precision computing (hardware)
2. Virtualisation
3. Online computing
   • Advanced Monitoring, Diagnostics and Control
   • Scalable distributed data collectors
   • High Level Triggering (HLT)
   • Stream event processing & High Throughput Computing (HTC)

Track 2: Data Analysis - Algorithms and Tools

1. Machine Learning

• • Evolutionary and Genetic Algorithms, Multi-variate analysis
  • Package Benchmarking
  • Automation of Science: Data to formula

1. Advanced Data Analysis Environments
   • Statistical Methods, Multivariate analysis
   • Data mining
2. Simulation, Reconstruction and Visualisation Techniques
   • Detector and Accelerator Simulations, MC and fast MC

• • Visualization Techniques; event displays

1. Advanced Computing
   • Quantum Computing
   • Bio Computing: life process simulation, brain simulation, Quantum biology

Track 3: Computations in Theoretical Physics: Techniques and Methods

1. Automatic Systems

1. Higher orders
   • One-loop event generators
   • Multi-loop Calculations and Higher Order Corrections
2. Computer Algebra Techniques and Applications
3. Computational physics, Theoretical and simulation aspects
   • Lattice QCD,
   • Cosmology, Universe Large Scale Structure, Gravitational waves
   • Nuclear physics N-body computation,
   • Plasma physics,
   • Earth Physics, climate, earthquakes

1. Computing Technology for Physics Research
   • Multilevel parallelism
   • Distributed computing
   • New architectures
   • High precision computing
   • Software quality control
   • User Interfaces, Common Libraries.

• • Neural Networks and Other Pattern Recognition Techniques

• • Visualization Techniques

1. Methodology of Computations in Theoretical Physics

• • Multi-loop Calculations and Higher Order Corrections

Main topics

The programme of ACAT 2007 will include the following Topics

1. Computing Technology and Environment for Physics Research
   • Parallel and Vector Computing Technologies and Applications
   • Distributed Computing: Tools for the GRID
   • Data Fabric and Data Management
   • Online Monitoring and Control
   • Software Engineering
   • Graphic User Interfaces, Common Libraries
2. Data Analysis - Algorithms and Tools
   • Neural Networks and Other Pattern
   • Recognition Techniques
   • Evolutionary and Genetic Algorithms
   • Advanced Data Analysis Environments
   • Statistical Methods
   • Detector and Accelerator Simulations
   • Reconstruction Algorithms
3. Simulations and Computations in Theoretical Physics and Phenomenology
   • Automatic Computation Systems: from Processes to Event Generators
   • Multi-loop Calculations and Higher Order Corrections
   • Multi-dimensional Integration and Event Generators
   • Intensive High Precision Numerical Computations: Algorithms and Systems
   • Computer Algebra Techniques and Applications

-- DenisPerretGallix - 05 Jun 2005