Difference between revisions of "Yade"
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* [[Speed_profiling_using_TimingInfo_and_TimingDeltas_classes | Speed profiling using TimingInfo and TimingDeltas classes]] |
* [[Speed_profiling_using_TimingInfo_and_TimingDeltas_classes | Speed profiling using TimingInfo and TimingDeltas classes]] |
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Revision as of 18:32, 15 January 2013
Yade is an extensible open-source framework for discrete numerical models, focused on Discrete Element Method. The project started as an offspring from SDEC at Grenoble University, now is being developed at multiple research institutes and has active and helpful user community.
The computation parts are written in c++ using flexible object model, allowing independent implementation of new alogrithms, interfaces with other software packages (e.g. flow simulation), data import/export routines. Python can be used to create and manipulate the simulation or for postprocessing.
- Source code and development website → launchpad (bugs, blueprints, mailing lists).
- This wiki is a general introduction and overview of Yade and its features. It also gives a quick tour of installation and usage (for more details, see manuals and reference documentation).
Yade Community
- NEWS
- Authors and contributors
- Citing Yade in publications
- Contact
- Publications
- Who Is Doing What
- Future plans
- We need your help!
Overview
Examples
Features
- Constitutive Laws (sphinx link?)
- Triaxial Test
- Capillary forces in unsaturated materials
- Triangulation
- From X-ray tomography to DEM (snow model)
- Present more developments here...
F.A.Q.
Installation
Development
Version handling
Information on source code
- Using Kdevelop4
- Adding plugin to the source tree
- How to add third party plugins
- Implicit Builds
- How to build Debian Packages
Debugging
- Introduction to debugging
- Debugging using Kdevelop
- Debugging using Valgrind
- Speed profiling
- Speed profiling using KCachegrind
- Speed profiling using TimingInfo and TimingDeltas classes
Performance and optimization
- Triaxial Test Parallel
- Comparisons with PFC3D™
- Colliders performance
- Performance Tuning
- Compilation with LLVM/clang
Other
Draft pages