HOW TOs
From KratosWiki
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* [[How to construct a linear solver using the "Linear Solver Factory"]] | * [[How to construct a linear solver using the "Linear Solver Factory"]] | ||
* [[How to construct the "solving strategies"]] | * [[How to construct the "solving strategies"]] | ||
| + | * [[How to create unitary tests]] | ||
* [[strategy_python]] | * [[strategy_python]] | ||
* [[Operations]] | * [[Operations]] | ||
Revision as of 10:48, 22 February 2016
This section is intended as a list of "recipes" for common needs in using the Kratos
Contents |
General
- Installing kratos in Ubuntu Linux
- Installing kratos in Windows
- Installing kratos in Mac OS X El Capitan
- How to Compile Kratos on the Acuario Cluster
- How to Check Kratos is Correctly Installed in Windows
- How to Check Kratos is Correctly Installed in Linux
- How to subscribe to Kratos' mailing list
- How to Profile an application (using google-perftools)
- How to Measure memory consumption (using google-perftools)
- How to work with Groups (Meshes)
- How to make my application derivable
OpenMP Parallelism
MPI Parallelism
- How to run your application in cluster
- How to compile the Boost if you want to use MPI
- How to use communicator for parallel synchronization
OpenCL Parallelism
- Introduction to OpenCL Programming
- Useful OpenCL links
- How to set up OpenCL
- How to debug OpenCL programs using GDB
- Support for double-precision floating point basic arithmetic in ATI Stream SDK (2.1 and later)
Python
General Python Use for Kratos
- How to use Python
- How to Use an Application
- How to import Kratos from Python using the KratosMultiphysics module
- How to work with nodes and elements in python
- How to use multiple model parts
- How to construct a linear solver using the "Linear Solver Factory"
- How to construct the "solving strategies"
- How to create unitary tests
- strategy_python
- Operations
Input/Output and GiD
- How to read a mdpa file
- How to use the GidIO
- How to read a data file
- How to plot graphs
- How to create the problem_type.gid folder with the new problem type generator
- How to use the Isosurface Node Printer
Calculation tips for Kratos feasible from Python
- How to Calculate Distance Function
- How to Calculate Normals
- How to execute an FFT analysis
- How to execute fitting of data series
- How to run python recursively
- How to execute a SVD analysis
- How to add automatic benchmarking to your example
- How to use parallel Pardiso solver for your example
- How to use the projection between no matching meshes
- How to use the ReduceTimeStep
- How to transfer nodal values between non-matching meshes
- How to use the OpenCL linear solvers
- How to refine an existing triangular or tetrahedral mesh
- How to use the Cutting Application (Serial and Parallel)
- How to use external linear solvers and preconditioners
- How to create a restart (python) file
- How to use the Cutting Isosurface Application
- How to access a value in a 'Properties' block
C++
- How to use the Constitutive Law class
- How to use "Smart Pointers" within Kratos
- How to Use the ModelPart
- How to Use the Meshes as Group
- How to Add and Delete Components (Nodes, Elements, ...) from ModelPart
- How to Access Neighbor Nodes and Elements
- How to Access DataBase
- How to Create a New Application using cmake
- How to Create New Element
- How to use the geometry within an element
- How to Use Solving Strategy
- How to understand Kratos Pointers
- How to Use the std::vector (and the kratos containers)
- How to Use Ublas
- How to Export Function/Classes to the Python
- How to Interpolate Data
- How to Compile Kratos in Debug mode
- How to debug with valgrind
- How to Add a Custom_Utilities File
- How to Create a GiD Problem Type
- How to Add a New Element (Condition)
- How to Add a New constitutive law
- How to Add a New Variable
- How to use the Geometry
- How to Create Multi-step Elements
- How to use push_back
- How to Create a executable without Python
- How to apply face pressures
- How to print values on Gauss points
- How to use Serialization
- How to Search neighbors
- How to use Doxygen to generate documentation for our code
- News for constitutive laws
- strategy_python
- Compiling lapack++ for 64 bit Windows
- Common errors
- Some aspects of programing
- How to use the Spatial Containers
- How to solve linker errors
Debbuging and optimizing your code
- Debugging the Application
- Profiling the Kratos
- How to Profile (Measure Time Consumption)
- Checking memory use with Valgrind
Graphical User Interfaces
Theory Manual
- GeneralTemplate
- MiguelAngel
- Kazem
- Computational Fluid Dynamic Module (CFDm)
- CFDm 1.Introduction
- CFDm 2.Structure
- CFDm 2.1.Fluid Types
- CFDm 2.2.Kinematical Approaches
- CFDm 2.3.Solution Strategies
- CFDm 2.4.Elements
- CFDm 2.5.Boundary Conditions
- CFDm 2.6.Initial Conditions
- CFDm 2.7.Turbulence Models
- CFDm 2.8.HPC
- CFDm 2.9.Problem Parameters
- CFDm 2.10.Other Relevant Aspects
- CFDm 3.Benchmarking
- CFDm 4.Tutorials
- CFDm 5.Contact People
- CFDm 6.Aknowledgements
- Computational Structural Mechanics Module (CSMm)
- CSMm 1.Introduction
- CSMm 2.Structure
- CSMm 2.1.Analysis Type
- CSMm 2.2.Elements
- CSMm 2.3.Boundary Conditions
- CSMm 2.4.Loads
- CSMm 2.5.Constitutive Laws
- CSMm 2.6.HPC
- CSMm 2.7.Problem Parameters
- CSMm 2.8.Other Relevant Aspects
- CSMm 3.Benchmarking
- CSMm 4.Tutorials
- CSMm 5.Contact People
- CSMm 6.Aknowledgements
- Convection Diffusion Module (CDm)
- CDm 1.Introduction
- CDm 2.Structure
- CDm 2.1.Analysis type
- CDm 2.2.Kinematical Approaches
- CDm 2.3.Solution Strategies
- CDm 2.4.Elements
- CDm 2.5.Boundary Conditions
- CDm 2.6.Initial Conditions
- CDm 2.7.HPC
- CDm 2.8.Problem Parameters
- CDm 2.9.Other Relevant Aspects
- CDm 3.Benchmarking
- CDm 4.Tutorials
- CDm 5.Contact People
- CDm 6.Aknowledgements
