Difference between revisions of "Flow engines on ubuntu 12.04"
From Yade
(18 intermediate revisions by 2 users not shown) | |||
Line 1: | Line 1: | ||
+ | The following instructions allow you to install on your computer YADE, an open-source framework for discrete numerical models, coupled to the PFV (Pore-scale Finite Volumes) model, to perform true hydromechanical simulations. |
||
+ | |||
+ | Here you'll find instruction for the download and the compilation of the code. |
||
+ | |||
+ | |||
== Download Yade == |
== Download Yade == |
||
You can install either a release (numbered version, which is frozen) or the current developement version (updated by the developers frequently). |
You can install either a release (numbered version, which is frozen) or the current developement version (updated by the developers frequently). |
||
Line 19: | Line 24: | ||
=== Openblas === |
=== Openblas === |
||
− | Openblas is a packaged version of Kazushige Goto's gotoblas, which is recommended by most matrix library |
+ | Openblas is a packaged version of Kazushige Goto's gotoblas, which is recommended by most matrix library developers. It is available precompiled in 12.04 but it breaks python's matplotlib because it provides a different version of lapack, which is a dependency of matplotlib. |
==== Download and compilation ==== |
==== Download and compilation ==== |
||
Line 40: | Line 45: | ||
''Note for ubuntu 10.04 users'': it may be easier on 10.04 to compile the ancestor of openblas: [http://www.tacc.utexas.edu/documents/13601/b58aeb8c-9d8d-4ec2-b5f1-5a5843b4d47b gotoblas] |
''Note for ubuntu 10.04 users'': it may be easier on 10.04 to compile the ancestor of openblas: [http://www.tacc.utexas.edu/documents/13601/b58aeb8c-9d8d-4ec2-b5f1-5a5843b4d47b gotoblas] |
||
⚫ | |||
⚫ | |||
− | TAUCS is a C library of sparse linear solvers. |
||
− | You have two options: |
||
− | *Download taucs sources already configured for 12.04 + openblas [http://geo.hmg.inpg.fr/~chareyre/code here] |
||
− | *Download taucs sources from the CGAL [http://www.cgal.org/download.html project]. In this case you'll have to configure the build by editing /config/linux.mk (you need at least to set the path to openblas, or to other libs you may want to use). |
||
− | |||
⚫ | |||
As a prerequisite, you have to install ParMETIS (Parallel Graph Partitioning and Fill-reducing Matrix Ordering). To do this open a terminal and type: |
As a prerequisite, you have to install ParMETIS (Parallel Graph Partitioning and Fill-reducing Matrix Ordering). To do this open a terminal and type: |
||
*sudo apt-get install libparmetis-dev |
*sudo apt-get install libparmetis-dev |
||
Line 55: | Line 54: | ||
* type "sudo make install", to install the library (this step may give harmless error messages even if it actually compiled (it failed at post-built test stages), ignore them and just check that /src/taucs.h and /lib/linux/libtaucs.a are present). |
* type "sudo make install", to install the library (this step may give harmless error messages even if it actually compiled (it failed at post-built test stages), ignore them and just check that /src/taucs.h and /lib/linux/libtaucs.a are present). |
||
− | == Cholmod == |
+ | === Cholmod === |
− | [http://www.cise.ufl.edu/research/sparse/cholmod/ CHOLMOD] is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. |
+ | [http://www.cise.ufl.edu/research/sparse/cholmod/ CHOLMOD] is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. It is part of the SuiteSparse library. |
− | |||
− | === Prerequisities and Download === |
||
− | Install LaPack (Linear Algebra Package) and “suitesparse-metis” package in Ubuntu (collection of libraries for computations for sparse matrices) |
||
− | * sudo apt-get install liblapack-dev libsuitesparse-metis-dev |
||
Download the SuiteSparse sources from [http://www.cise.ufl.edu/research/sparse/SuiteSparse/ here] (ATTENTION, download version 3.7.1) |
Download the SuiteSparse sources from [http://www.cise.ufl.edu/research/sparse/SuiteSparse/ here] (ATTENTION, download version 3.7.1) |
||
+ | Open the config file and replace the legacy blas by openblas in the link targets. The lapack lib should be left empty as openblas comes with its own version of lapack. |
||
− | === Compilation === |
||
+ | |||
⚫ | |||
+ | Then compile and install: |
||
*make |
*make |
||
*sudo make install |
*sudo make install |
||
⚫ | |||
⚫ | |||
+ | Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. |
||
+ | |||
+ | You should verify that the version of eigen3 you have installed among Yade prerequisities, is of version >3.1. If it's not the case, you have to delete the libeigen3-dev you've installed. |
||
+ | |||
+ | To verify the version of libeigen3-dev, open a terminal and type: |
||
+ | *sudo apt-get install apt-show-versions |
||
+ | *sudo apt-show-versions libeigen3-dev |
||
+ | |||
+ | If the version is <3.1, delete the library and type: |
||
+ | *sudo apt-get purge libeigen3-dev |
||
+ | |||
+ | Then download [http://eigen.tuxfamily.org/index.php?title=Main_Page here] the correct version of eigen3 and follow the installation instructions (it is not necessary the compilation, just a "make install" to copy the headers into a /usr shared folder |
||
+ | |||
+ | === Get LinSolv version of flow engines === |
||
+ | Get the "linsolv" version of flow engines. Please contact [mailto:bruno.chareyre@hmg.inpg.fr Bruno Chareyre] or [mailto:ema.catalano@gmail.com Emanuele Catalano] for this. |
||
+ | |||
⚫ | |||
+ | You're now ready to compile Yade. This operation will create and executable file and you'll be able to perform coupled fluid-particle simulations. |
||
+ | |||
+ | Follow this instructions (for complete informations about compilation options, go [https://yade-dem.org/doc/installation.html#compilation here]: |
||
⚫ | |||
+ | *mkdir Yade |
||
+ | *mv trunk/ ./Yade/trunk |
||
+ | *cd Yade |
||
+ | *mkdir build |
||
+ | *cd build/ |
||
+ | *cmake -DENABLE_LINSOLV=ON -DINSTALL_PREFIX=/path/to/Yade/ /path/to/Yade/trunk/ (this will create the makefile) |
||
+ | *make (this will take several minutes or hours, depending on your machine specs) |
||
+ | *make install |
||
+ | |||
+ | To launch Yade, type: |
||
+ | *cd path/to/Yade/bins |
||
+ | *./yade |
||
+ | Have fun! All you need to know about Yade is [https://yade-dem.org/doc/index.html here]. Write on Yade's users mailing list if you have any problem. |
||
− | As usual, get the "linsolv" version of flow engines and compile yade with cgal enabled, and -DFLOW_ENGINE, -DLINSOLV in Yade's compile flags. |
Latest revision as of 19:46, 18 January 2013
The following instructions allow you to install on your computer YADE, an open-source framework for discrete numerical models, coupled to the PFV (Pore-scale Finite Volumes) model, to perform true hydromechanical simulations.
Here you'll find instruction for the download and the compilation of the code.
Download Yade
You can install either a release (numbered version, which is frozen) or the current developement version (updated by the developers frequently).
Release version
Releases can be downloaded from the download page[1], as compressed archive. Uncompressing the archive gives you a directory with the sources.
Once you downloaded the sources, you have to install dependencies following the instructions from here: https://yade-dem.org/doc/installation.html#prerequisities
Current development version
Developement version (trunk) can be obtained from the code repository at github. Follow instructions from here to download: https://www.yade-dem.org/wiki/Yade_on_github#Setup
Once you downloaded the sources, you have to install dependencies following the instructions from here: https://yade-dem.org/doc/installation.html#prerequisities
Flow Engine
To add the flow engine and perform coupled fluid-particle simulations, follow the instructions below. Basically there are just a number of dependencies that need to be satisfied.
Openblas
Openblas is a packaged version of Kazushige Goto's gotoblas, which is recommended by most matrix library developers. It is available precompiled in 12.04 but it breaks python's matplotlib because it provides a different version of lapack, which is a dependency of matplotlib.
Download and compilation
You should download the sources at github: https://github.com/xianyi/OpenBLAS/zipball/master
Prerequisites:
- gfortran - type on a terminal "sudo apt-get install gfortran"
Optional:
- pthread - type on a terminal "sudo apt-get install libpthread-stubs0-dev"
Open a terminal and place you into the folder where the openblas sources have been downloaded. Unpack the compressed file. To compile, do this:
- type "make FC=gfortran" so as to use the right compiler;
- type "sudo make install", to install the library.
Make a symlink to /path/to/libopenblas.so.0 in the standard path so that yade will find it at startup:
- sudo ln -s /path/to/libopenblas.so.0 /usr/lib/libopenblas.so.0
Note for ubuntu 10.04 users: it may be easier on 10.04 to compile the ancestor of openblas: gotoblas
Prerequisities and Compilation
As a prerequisite, you have to install ParMETIS (Parallel Graph Partitioning and Fill-reducing Matrix Ordering). To do this open a terminal and type:
- sudo apt-get install libparmetis-dev
You can also download and compile your own metis-4.0.1 (it doesn't really matter both ways should work)
To compile, open a terminal and place you into the folder where the taucs sources have been downloaded. To compile, do this:
- type "make"
- type "sudo make install", to install the library (this step may give harmless error messages even if it actually compiled (it failed at post-built test stages), ignore them and just check that /src/taucs.h and /lib/linux/libtaucs.a are present).
Cholmod
CHOLMOD is a set of ANSI C routines for sparse Cholesky factorization and update/downdate. It is part of the SuiteSparse library.
Download the SuiteSparse sources from here (ATTENTION, download version 3.7.1)
Open the config file and replace the legacy blas by openblas in the link targets. The lapack lib should be left empty as openblas comes with its own version of lapack.
Then compile and install:
- make
- sudo make install
Eigen
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
You should verify that the version of eigen3 you have installed among Yade prerequisities, is of version >3.1. If it's not the case, you have to delete the libeigen3-dev you've installed.
To verify the version of libeigen3-dev, open a terminal and type:
- sudo apt-get install apt-show-versions
- sudo apt-show-versions libeigen3-dev
If the version is <3.1, delete the library and type:
- sudo apt-get purge libeigen3-dev
Then download here the correct version of eigen3 and follow the installation instructions (it is not necessary the compilation, just a "make install" to copy the headers into a /usr shared folder
Get LinSolv version of flow engines
Get the "linsolv" version of flow engines. Please contact Bruno Chareyre or Emanuele Catalano for this.
Compile Yade with Flow Engine
You're now ready to compile Yade. This operation will create and executable file and you'll be able to perform coupled fluid-particle simulations.
Follow this instructions (for complete informations about compilation options, go here:
- Open a terminal and place you in the folder that contains the trunk/ folder (Yade sources). Type:
- mkdir Yade
- mv trunk/ ./Yade/trunk
- cd Yade
- mkdir build
- cd build/
- cmake -DENABLE_LINSOLV=ON -DINSTALL_PREFIX=/path/to/Yade/ /path/to/Yade/trunk/ (this will create the makefile)
- make (this will take several minutes or hours, depending on your machine specs)
- make install
To launch Yade, type:
- cd path/to/Yade/bins
- ./yade
Have fun! All you need to know about Yade is here. Write on Yade's users mailing list if you have any problem.