Difference between revisions of "Yade"
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* '''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).''' |
* '''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).''' |
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= Yade Community = |
= Yade Community = |
Revision as of 19:29, 17 March 2014
This is Yades's wiki, check the project's HOMEPAGE
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).
Announcing the 1st Yade Workshop
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
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
- Performance on Multicore Systems and Workstations
- Performance Testing (yade --performance)
Other
Draft pages