Open Source Software for Strongly Correlated Systems for the ALPS coaboration

58 Pages·2008·6.71 MB·English

The ALPS Project
Open Source Software for
Strongly Correlated Systems
Matthias Troyer, ETH Zürich
for the ALPS co!aboration
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The ALPS collaboration
Universität Stuttgart, Germany
ETH Zürich, Switzerland
•
Stefan Wessel
• Philippe Corboz
Université de Toulouse, France
• Lukas Gamper

•
Fabien Alet
• Emanuel Gull
• Lode Pollet
TU Graz, Austria

•
Matthias Troyer
• Franz Michel
IRRMA Lausanne, Switzerland
UC Santa Barbara, USA
•
Andreas Läuchli
• Adrian Feiguin
• Simon Trebst
RWTH Aachen, Germany
UC Davis, USA
•
Ulrich Schollwöck
• Munehisa Matsumoto
Universität Marburg, Germany Columbia University, USA
•
Reinhard Noack •
Philipp Werner

•
Salvatore Manmana
Honk Kong University, China

•
Siegfried Gürtler
Institute of Metal Physics, Ekaterinburg, Russia
•
Anton Kozhevnikov
University of Tokyo, Japan
A. Mickiewicz University, Poznan, Poland •
Ryo Igarashi
•
Grzegorz Pawłowski • Synge Todo
University of Queensland, Australia
Universität Göttingen, Germany
•
Ian McCulloch
• Sebastian Fuchs
University of New South Wales, Australia • Andreas Honecker
• Fabricio Albuquerque • Thomas Pruschke
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The ALPS project
Algorithms and Libraries for Physics Simulations
• open source data formats,
libraries and simulation codes
for quantum lattice models
•
download codes from website
http://alps.comp-phys.org
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Simulation codes of
quantum lattice models
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Simulation codes of
quantum lattice models
•
The status quo
• individual codes
• model-specific implementations
• growing complexity of methods
4
Simulation codes of
quantum lattice models
•
The status quo
• individual codes
• model-specific implementations
• growing complexity of methods
• ALPS
• community codes
• generic implementations
• simplified code development
• common file formats
4
Simulation codes of
quantum lattice models
•
The status quo
• individual codes
Key Technologies
• model-specific implementations
• growing complexity of methods Generic Programming in C++
• flexibility
• high-performance
• ALPS
Standard C++ Libraries
• community codes
• fast development
• generic implementations
XML / XSLT for Input/Output
• simplified code development
• portability
• self-explanatory
• common file formats
MPI/OpenMP for Parallelization
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Three tiers of ALPS
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Three tiers of ALPS
1. Standard data formats and interfaces to facilitate
• exchange, archiving and querying of simulation results
• exchange of simulation and analysis tools
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Three tiers of ALPS
1. Standard data formats and interfaces to facilitate
• exchange, archiving and querying of simulation results
• exchange of simulation and analysis tools
2. Libraries
• to support standard data formats and interfaces
• to ease building of parallel simulation programs
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