Difference: MainTopics (3 vs. 4)

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META TOPICPARENT name="WebHome"

Main topics

The ACAT scientific programme includes the following topics

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  1. Computing Technology for Physics Research
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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
 
    • Multilevel parallelism
    • Distributed computing
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    • New architectures
    • High precision computing
    • Software quality control
    • User Interfaces, Common Libraries.
    • Online Monitoring and Control
  1. Data Analysis - Algorithms and Tools
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    • 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
 
    • Neural Networks and Other Pattern Recognition Techniques
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    • Evolutionary and Genetic Algorithms
    • Advanced Data Analysis Environments
    • Statistical Methods
    • Detector and Accelerator Simulations
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    • 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
 
    • Reconstruction Algorithms
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    • Visualization Techniques
  1. Methodology of Computations in Theoretical Physics
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    • 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
 
    • Automatic Computation Systems: from Processes to Event Generators
    • Multi-dimensional Integration and Event Generators
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    • Multi-loop Calculations and Higher Order Corrections
 
    • Intensive High Precision Numerical Computations: Algorithms and Systems
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    • Computer Algebra Techniques and Applications
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  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
 
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-- DenisPerretGallix - 10 Oct 2007
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-- DenisPerretGallix - 2016-05-12
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