From 6f34f6a3b460405df0bd7a6f80647eecda772649 Mon Sep 17 00:00:00 2001
From: Daniel Arndt
- deal.II is mostly developed on Linux using the
- GCC compiler. However, it is not
- platform specific and we strive to keep the source code compliant
- with the C++ 2011
- Standard (see
- also here
- for a copy of the C++11 standard).
-
- deal.II supports at least the following
- platforms:
-
- Most other combinations of POSIX-style operating systems and C++
- Standard compliant compilers should also work. If they don't,
+
+ deal.II is mostly developed on Linux using the
+ GCC compiler. However, it is not platform specific and we strive to keep the source code compliant with the C++ 2011
+ Standard (see also here for a copy of the C++11 standard).
+
+ deal.II supports at least the following platforms:
+
+ Most other combinations of POSIX-style operating systems and C++ Standard compliant compilers should also work. If they don't,
please report it as a bug.
-Installation instructions and further information
- on deal.II
-
-
-
+
-
+
-
+ Installation instructions and further information on deal.II
+
+ System requirements
-
-
-Supported platforms
-
-
-
System requirements
+
+
+ Supported platforms
+
+
+
+
+
- In order to compile and use deal.II - you need to have the following programs installed: + In order to compile and use deal.II you need to have the following programs installed:
dot
, which is part of the
- GraphViz
- package
- - The library generates output in formats readable by - GNUPLOT, - GMV - (general mesh viewer), - Tecplot (ASCII and binary), - Visualization Toolkit (Vtk), - AVS Explorer, - Open DX, - Povray, - and directly to Encapsulated Postscript. -
+
- gnuplot
- and a postscript viewer (for eps
) should be
- available almost everywhere. In the last few years, most
- new visualization programs have moved to support
- vtk
/vtu
format. There are a number
- of excellent programs that can read vtk
and
- vtu
, such as
- Visit,
- ParaView,
- as well as others. Povray is freely available for almost all
- platforms. AVS is a commercial program available for most Unix
- flavors. Tecplot is a commercial program available for Windows
- and most Unix platforms.
-
- In case you didn't find your favorite graphics format above, - adding a new writer to deal.II is not too - difficult, as only a simple intermediate format needs to be - converted into output (without references to cells, nodes, - types of finite elements, and the like). -
- +dot
, which is part of the
+ GraphViz package
+ + The library generates output in formats readable by + GNUPLOT, + GMV + (general mesh viewer), + Tecplot (ASCII and binary), + Visualization Toolkit (Vtk), + AVS Explorer, + Open DX, + Povray, and directly to Encapsulated Postscript. +
+ +
+ gnuplot
and a postscript viewer (for eps
) should be available almost everywhere. In the last few years, most new visualization programs have moved to support
+ vtk
/vtu
format. There are a number of excellent programs that can read vtk
and
+ vtu
, such as
+ Visit,
+ ParaView, as well as others. Povray is freely available for almost all platforms. AVS is a commercial program available for most Unix flavors. Tecplot is a commercial program available
+ for Windows and most Unix platforms.
+
+ In case you didn't find your favorite graphics format above, adding a new writer to deal.II is not too difficult, as only a simple intermediate format needs to be converted into output (without references to cells, nodes, + types of finite elements, and the like). +
+
- The whole library usually comes as a tar.gz
file,
- which is a file archive compressed with gzip. After downloading it,
- unpack it using either
+ The whole library usually comes as a tar.gz
file, which is a file archive compressed with gzip. After downloading it, unpack it using either
+-gunzip deal.II-X.Y.Z.tar.gz tar xf deal.II-X.Y.Z.tar --or, if you have GNU tar with
-++or, if you have GNU tar with
+tar -xvf deal.II-X.Y.Z.tar.gz -+
Note: You will want to hang on to the source files
- of deal.II after installation as it makes
- developing much simpler. Consequently, you should do the steps above
- in a permanent directory, not on /tmp
as one often does
- when installing software.
-
Note: You will want to hang on to the source files of deal.II after installation as it makes developing much simpler. Consequently, you should do the steps above in a permanent directory, not on /tmp
as one often
+ does when installing software.
+
- deal.II uses the - CMake - integrated configuration and build system. Unpacking will create a - subdirectory deal.II/ in the current directory. Then do the - following steps:
+ deal.II uses the + CMake integrated configuration and build system. Unpacking will create a subdirectory deal.II/ in the current directory. Then do the following steps: -+-mkdir build cd build cmake -DCMAKE_INSTALL_PREFIX=/path/to/install/dir ../deal.II make install make test -+
- These steps compile, link, install the deal.II library, and run a few - consistency checks. The whole process should take between a few minutes - and an hour, depending on your machine. -
++ These steps compile, link, install the deal.II library, and run a few consistency checks. The whole process should take between a few minutes and an hour, depending on your machine. +
- Note:
-/path/to/install/dir
is the directory which deal.II
- should be installed into. This can be a directory in your home
- directory (e.g., ~/bin/deal.II
) or a directory
- such as /usr/local
if you have root privileges.
- Another option is to use something like `pwd`/../installed/
(note the
- backticks). Make sure the installation directory is not the same
- as the location where you unpacked deal.II/.
- make
- -jN
in the last step, where N
is the
- number of simultaneous build processes you want make
- to use at any given time. Allowing make
to use
- more simultaneous build processes (assuming you have that many
- processor cores) will greatly lower the build time.
- build/
directory after the last step.
- tar
unpacked the file you downloaded) since
- projects using deal.II should only need files that have been
- installed. However, you will find it convenient to keep the source
- files around anyway, for one reason: When
- debugging you often end up with assertions for which you'd like to
- see the place in the library's source files that triggered it.
- CMake
system can accept a
- significant number of configuration parameters. See the
- discussion below.
- cmake
a second time,
- possibly with different arguments.
- However, this sometimes leads to surprising results and you may
- not get exactly what you were hoping for. For more information,
- see here.
- /path/to/install/dir
is the directory which deal.II should be installed into. This can be a directory in your home directory (e.g., ~/bin/deal.II
) or a directory such as /usr/local
if you have root privileges.
+ Another option is to use something like `pwd`/../installed/
(note the backticks). Make sure the installation directory is not the same as the location where you unpacked deal.II/.
+ make
+ -jN
in the last step, where N
is the number of simultaneous build processes you want make
to use at any given time. Allowing make
to use more simultaneous build processes (assuming you have that many processor
+ cores) will greatly lower the build time.
+ build/
directory after the last step.
+ tar
unpacked the file you downloaded) since projects using deal.II should only need files that
+ have been installed. However, you will find it convenient to keep the source files around anyway, for one reason: When debugging you often end up with assertions for which you'd like to see the place in the library's source files that triggered
+ it.
+ CMake
system can accept a significant number of configuration parameters. See the discussion below.
+ cmake
a second time, possibly with different arguments. However, this sometimes leads to surprising results and you may not get exactly what you were hoping for. For more information, see here.
+ - The commands above build and install the deal.II - libraries in two variants: + The commands above build and install the deal.II libraries in two variants:
Debug mode: This version of the - library is compiled with compiler flags so - that the library contains information that can be used by debuggers. -
- -- In addition, this library contains a great number of safety - checks on most arguments of all functions you could possibly call. - These assertions have proven to be an - invaluable means to finding programming bugs since they will - almost always abort your program if something goes wrong. In our - experience, more than ninety per cent of all errors are invalid - parameters (such as vectors having the wrong size, etc.) and they - are usually found almost instantaneously, displaying the file - name and line number of where the problem occurred. -
-
- With GCC Debug mode, by default, uses the -Og
flag. It promises most of the
- debugging experience of -O0
but at a better performance.
- This is a reasonable choice for unit tests and enables numerous asserts
- within the library. Sometimes, however, one needs Debug mode to use
- -O0
, where all compiler optimizations are avoided and code and variables
- are exactly as indicated in the C++ program (e.g. with -Og
GCC 6.2.0
- optimizes out local variables).
- This can be achieved by configuring deal.II with
- -DDEAL_II_HAVE_FLAG_Og=false
.
-
Debug mode: This version of the library is compiled with compiler flags so that the library contains information that can be used by debuggers. +
+ ++ In addition, this library contains a great number of safety checks on most arguments of all functions you could possibly call. These assertions have proven to be an invaluable means to finding programming bugs since they will almost always abort your + program if something goes wrong. In our experience, more than ninety per cent of all errors are invalid parameters (such as vectors having the wrong size, etc.) and they are usually found almost instantaneously, displaying the file name + and line number of where the problem occurred. +
+
+ With GCC Debug mode, by default, uses the -Og
flag. It promises most of the debugging experience of -O0
but at a better performance. This is a reasonable choice for unit tests and enables numerous asserts within
+ the library. Sometimes, however, one needs Debug mode to use
+ -O0
, where all compiler optimizations are avoided and code and variables are exactly as indicated in the C++ program (e.g. with -Og
GCC 6.2.0 optimizes out local variables). This can be achieved by configuring
+ deal.II with
+ -DDEAL_II_HAVE_FLAG_Og=false
.
+
- At this point, you have generated everything necessary to write - programs based on deal.II. If you are new to - deal.II, you may want to continue with the - tutorial. + At this point, you have generated everything necessary to write programs based on deal.II. If you are new to + deal.II, you may want to continue with the + tutorial.
- All the documentation about the version that you downloaded and that can
- be found at the
- http://www.dealii.org/ domain can also be generated locally. To do
- so, invoke cmake
in the build instructions above as follows:
+ All the documentation about the version that you downloaded and that can be found at the
+ http://www.dealii.org/ domain can also be generated locally. To do so, invoke cmake
in the build instructions above as follows:
@@ -336,48 +249,28 @@
- For this to succeed, you will need Perl 5.x,
- doxygen
- and dot
(which is part of
- the GraphViz
- package) to be installed.
+ For this to succeed, you will need Perl 5.x,
+ doxygen and dot
(which is part of the GraphViz package) to be installed.
- The documentation contains links to pictures (e.g., for the
- tutorial programs) that are by default stored online at the
- dealii.org domain. If you want to use the documentation
- completely offline, you can run
- the contrib/utilities/makeofflinedoc.sh
script in
- an installed documentation directory to download all images.
+ The documentation contains links to pictures (e.g., for the tutorial programs) that are by default stored online at the dealii.org domain. If you want to use the documentation completely offline, you can run the contrib/utilities/makeofflinedoc.sh
script in an installed documentation directory to download all images.
Finally, the default for locally installed documentation is to
- render formulas as images. You can force formulas to be
- displayed via the MathJax system by
- adding -DDEAL_II_DOXYGEN_USE_MATHJAX=ON
to the
- CMake call above. These formulas are then rendered natively by the
- browser. With -DDEAL_II_DOXYGEN_USE_ONLINE_MATHJAX=OFF
- CMake will try to find a local installation of MathJax scripts,
- otherwise the online version of the scripts will be used in the
- documentation.
+
Finally, the default for locally installed documentation is to render formulas as images. You can force formulas to be displayed via the MathJax system by adding -DDEAL_II_DOXYGEN_USE_MATHJAX=ON
to the CMake call above. These formulas
+ are then rendered natively by the browser. With -DDEAL_II_DOXYGEN_USE_ONLINE_MATHJAX=OFF
CMake will try to find a local installation of MathJax scripts, otherwise the online version of the scripts will be used in the documentation.
- Upon calling make
and make install
, this will
- install both this readme, other installation instructions, as well as the
- manual that documents
- all functions and classes as well as
- the tutorial
+ Upon calling make
and make install
, this will install both this readme, other installation instructions, as well as the
+ manual that documents
+ all functions and classes as well as the tutorial
of well-documented example programs (the "steps").
- Note: Generating this documentation can take a really long
- time — running doxygen through our hundreds of thousands of
- lines of code can take 15-20 minutes even on a fast machine during which
- you will not get any output from make
.
+ Note: Generating this documentation can take a really long
+ time — running doxygen through our hundreds of thousands of lines of code can take 15-20 minutes even on a fast machine during which you will not get any output from make
.
- deal.II has a large number of optional interfaces to
- other libraries. By default, cmake
will automatically
+ deal.II has a large number of optional interfaces to other libraries. By default, cmake
will automatically
enable support for all external libraries it can find in default
- paths.
- However, this behavior can be changed using command line switches to
- the initial call to cmake
. A detailed description
- can be found here: Detailed build system description.
+ paths. However, this behavior can be changed using command line switches to the initial call to cmake
. A detailed description can be found here: Detailed build system description.
- In the following, let us summarize the most common configuration - options. + In the following, let us summarize the most common configuration options.
- --
-DDEAL_II_UNITY_BUILD=ON
argument
- to cmake
. This feature is disabled by default.
-
- -DDEAL_II_UNITY_BUILD=ON
argument to cmake
. This feature is disabled by default.
+
+
- Threading: By default, deal.II supports parallelism between
- multiple cores on the same machine using threads and a
- task-based model built on the
- Threading Building Blocks. You can switch
- threading off by passing the -DDEAL_II_WITH_THREADS=OFF
- argument to cmake
.
-
- MPI: To enable parallel computations beyond a single node
- using the Message
+
+ Threading: By default, deal.II supports parallelism between multiple cores on the same machine using threads and a task-based model built on the
+ Threading Building Blocks. You can switch threading off by passing the
+ MPI: To enable parallel computations beyond a single node using the Message
Passing Interface (MPI), pass the
-
- 64bit indices: By default, deal.II use unsigned int (32bit)
- indices for degrees of freedom, using
- the -DDEAL_II_WITH_THREADS=OFF
argument to cmake
.
+ -DDEAL_II_WITH_MPI=ON
argument
- to cmake
. If cmake
found MPI but you
- specifically do not want to use it, then
- pass -DDEAL_II_WITH_MPI=OFF
.
- types::global_dof_index
type. This limits the number of
- unknowns to approximately four
- billions. If larger problem must be solved, pass the
- -DDEAL_II_WITH_64BIT_INDICES=ON
argument to
- cmake
. You will not be able to solve problems of this size on
- a single machine, but only when using clusters of computers and linear
- algebra packages PETSc or Trilinos.
- To use this option with PETSc, PETSc must be compiled
- with the option --with-64-bit-indices
.
- -DDEAL_II_WITH_MPI=ON
argument to cmake
. If cmake
found MPI but you specifically do not want to use it, then pass -DDEAL_II_WITH_MPI=OFF
.
+
+ 64bit indices: By default, deal.II use unsigned int (32bit) indices for degrees of freedom, using the types::global_dof_index
type. This limits the number of unknowns to approximately four billions. If larger problem
+ must be solved, pass the
+ -DDEAL_II_WITH_64BIT_INDICES=ON
argument to
+ cmake
. You will not be able to solve problems of this size on a single machine, but only when using clusters of computers and linear algebra packages PETSc or Trilinos. To use this option with PETSc, PETSc must be compiled
+ with the option --with-64-bit-indices
.
+
- When configuring interfacing to external libraries, the
- cmake
script by default tries to find all of these
- libraries in a number of standard locations on your file system.
- For optional interfaces, it gives up if the library is not
- found and deal.II will be built without support
- for them.
- However, there is one interface that we need to have: BOOST 1.59 or newer.
- If it is not found externally cmake
will resort to the
- bundled boost version that is part of the deal.II
- tar file.
+ When configuring interfacing to external libraries, the
+ cmake
script by default tries to find all of these libraries in a number of standard locations on your file system. For optional interfaces, it gives up if the library is not found and deal.II will be built
+ without support for them. However, there is one interface that we need to have: BOOST 1.59 or newer. If it is not found externally cmake
will resort to the bundled boost version
+ that is part of the deal.II tar file.
- The following paragraphs describe how the interfaces to the - various packages, deal.II interacts with, - can be configured. + The following paragraphs describe how the interfaces to the various packages, deal.II interacts with, can be configured.
Notes:
--dev
or -devel
.
After that cmake
will automatically find the
library and use it.
- foo
can usually be done by specifying
- -DFOO_DIR=/path/to/foo
. Alternatively, you can
- set FOO_DIR
as an environment variable in your
- .bashrc
or .cshrc
file so that
- you do not have to enter this argument again the next time
- you invoke cmake
in a fresh build directory.
- Any value passed on the command line wins over a value that
- may be found in an environment variable.
- foo
can usually be done by specifying
+ -DFOO_DIR=/path/to/foo
. Alternatively, you can set FOO_DIR
as an environment variable in your
+ .bashrc
or .cshrc
file so that you do not have to enter this argument again the next time you invoke cmake
in a fresh build directory. Any value passed on the command line wins over a value that may be
+ found in an environment variable.
+
foo
use the argument
- -DDEAL_II_WITH_FOO=ON
resp.
- -DDEAL_II_WITH_FOO=OFF
for cmake
.
- foo
use the argument
+ -DDEAL_II_WITH_FOO=ON
resp.
+ -DDEAL_II_WITH_FOO=OFF
for cmake
.
+
+ ADOL-C is a package that facilitates the evaluation of first and higher derivatives of vector functions. In particular, it can be used for automatic differentiation. For using
+ ADOL-C with deal.II, version 2.6.4 or newer is required. To use a self compiled version, specify
+ -DADOLC_DIR=/path/to/adolc
on the command line.
+
- ARPACK is a library for computing large
- scale eigenvalue problems.
- ARPACK
- should be readily packaged by most Linux distributions.
- (Don't forget to install a development version of the library).
- To use a self compiled version, specify
- -DARPACK_DIR=/path/to/arpack
on the command line.
-
- For a detailed description on how to compile ARPACK and linking with deal.II, see
- this page.
-
+ ARPACK is a library for computing large scale eigenvalue problems.
+ ARPACK should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DARPACK_DIR=/path/to/arpack
on the command line. For a detailed description on how to compile ARPACK and linking with deal.II, see
+ this page.
+
+ is a portable Open Source library to import various well-known 3D model formats in a uniform manner. A subset of these formats can be read from within deal.II to generate two-dimensional
+ meshes, possibly embedded in a three-dimensional space.
+ Assimp should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DASSIMP_DIR=/path/to/assimp
on the command line.
+
- BLAS
- (the Basic Linear Algebra Subroutines) and
- LAPACK
- (Linear Algebra Package) are two packages that support
- low-level linear algebra operations on vectors and dense
- matrices.
- Both libraries should be packaged by almost all Linux
- distributions and found automatically whenever available.
- (You might have to install development versions of the libraries
- for deal.II being able to use them).
- For details on how to set up deal.II with a
- non standard BLAS/LAPACK implementation, see the
- advanced
+
+ BLAS (the Basic Linear Algebra Subroutines) and
+ LAPACK (
+ Linear Algebra Package) are two packages that support low-level linear algebra operations on vectors and dense matrices. Both libraries should be packaged by almost all Linux distributions and found automatically whenever available.
+ (You might have to install development versions of the libraries for deal.II being able to use them). For details on how to set up deal.II with a non standard BLAS/LAPACK implementation, see the
+ advanced
setup section in the CMake ReadME.
-
- CUDA is a parallel
- computing platform and API model created by Nvidia. It allows software
- developers and software engineers to use CUDA-enabled GPU for general
- purpose processing.
-
- Details about compatibility and configuration can be found here.
-
- The GNU Scientific Library
- provides a wide range of mathematical routines such as random number
- generators, special functions and least-squares fitting.
- GSL should be
- readily packaged by most Linux distributions. (Don't forget
- to install a development version of the library).
- To use a self compiled version, specify
-
- The HDF5 library
- provides graphical output capabilities in -DGSL_DIR=/path/to/gsl
on the command line.
- HDF5/XDMF
- format.
- HDF5 should be
- readily packaged by most Linux distributions. (Don't forget
- to install a development version of the library).
- To use a self compiled version, specify
- -DHDF5_DIR=/path/to/hdf5
on the command line.
-
+ CUDA is a parallel computing platform and API model created by Nvidia. It allows software developers and software engineers to use CUDA-enabled GPU for general purpose processing. Details + about compatibility and configuration can be found here. +
+ +
+ is a 3D finite element mesh generator. The executable can be used to create meshes from within deal.II by specifying the relevant input data.
+ Gmsh should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DGMSH_DIR=/path/to/gmsh
on the command line.
+
+ The GNU Scientific Library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting.
+ GSL should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DGSL_DIR=/path/to/gsl
on the command line.
+
+ The HDF5 library provides graphical output capabilities in HDF5/XDMF
format.
+ HDF5 should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DHDF5_DIR=/path/to/hdf5
on the command line.
+
- METIS is a library that
- provides various methods to partition
- graphs. deal.II uses it in programs like the
- step-17 tutorial to partition a mesh for parallel computing.
- To use a self compiled version, specify
- -DMETIS_DIR=/path/to/metis
on the command line.
- deal.II supports METIS 5 and later.
-
- Note: A more modern way to support parallel computations is
- shown in the step-40 tutorial program and is based on
- the p4est
library instead of METIS. See below on
- installing p4est
.
-
+ METIS is a library that provides various methods to partition graphs. deal.II uses it in programs like the step-17 tutorial to partition
+ a mesh for parallel computing. To use a self compiled version, specify
+ -DMETIS_DIR=/path/to/metis
on the command line.
+ deal.II supports METIS 5 and later.
+
+ Note: A more modern way to support parallel computations is shown in the step-40 tutorial program and is based on the p4est
library instead of METIS. See below on installing p4est
.
+
- muparser
- is a library that allows to enter functions in text form and have them
- interpreted at run time. This is particularly useful in input
- parameter files. cmake
will usually find the version of
- this library that comes bundled with deal.II, but you
- can specify -DMUPARSER_DIR=/path/to/muparser
if desired.
-
+ muparser is a library that allows to enter functions in text form and have them interpreted at run time. This is particularly useful in input parameter files. cmake
will usually
+ find the version of this library that comes bundled with deal.II, but you can specify -DMUPARSER_DIR=/path/to/muparser
if desired.
+
+ nanoflann is a C++11 header-only library for building KD-Trees of datasets with different topologies. In particular, it can be used for operations such as finding the
+ vertex or cell closest to a given evaluation point that occur frequently in many applications using unstructured meshes. scale eigenvalue problems.
+ nanoflann should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DNANOFLANN_DIR=/path/to/nanoflann
on the command line.
+
GridIn
class.
+ NetCDF should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, pass
+ -DNETCDF_DIR=/path/to/netcdf
to cmake
.
+
+ GridIn
class.
- NetCDF should be readily packaged by most
- Linux distributions. (Don't forget to install a development
- version of the library). To use a self compiled version, pass
- -DNETCDF_DIR=/path/to/netcdf
to cmake
.
-
- p4est
- is a library that deal.II uses to
- distribute very large meshes across multiple processors (think
- meshes with a billion cells on 10,000 processors). Using and
- installing p4est is discussed here.
- To use a self compiled version, pass the argument
- -DP4EST_DIR=/path/to/p4est
to the
- cmake
command.
-
+ p4est is a library that deal.II uses to distribute very large meshes across multiple processors (think meshes with a billion cells on 10,000 processors). Using and
+ installing p4est is discussed here. To use a self compiled version, pass the argument
+ -DP4EST_DIR=/path/to/p4est
to the
+ cmake
command.
+
- PETSc is a
- library that supports parallel linear algebra and many other things.
-
- PETSc
- is already packaged by some Linux distributions and should be
- found automatically if present. (Don't forget to install a
- development version of the library). To use a self compiled
- version of PETSc, add
+ PETSc is a library that supports parallel linear algebra and many other things.
+
+ PETSc is already packaged by some Linux distributions and should be found automatically if present. (Don't forget to install a development version of the library). To use a
+ self compiled version of PETSc, add -DPETSC_DIR=/path/to/petsc
+
-DPETSC_DIR=/path/to/petsc
-DPETSC_ARCH=architecture
to the argument list for
- cmake
. The values for these arguments must be
- the same as those specified when building PETSc.
- cmake
. The values for these arguments must be the same as those specified when building PETSc.
+
- To disable the PETSc interfaces in cases where cmake
- automatically finds it, use -DDEAL_II_WITH_PETSC=OFF
.
- More information on configuring and building PETSc can be
- found here.
-
+ To disable the PETSc interfaces in cases where cmake
automatically finds it, use -DDEAL_II_WITH_PETSC=OFF
. More information on configuring and building PETSc can be found here.
+
- scalapack
- is a library of high-performance linear algebra routines for parallel
- distributed memory machines. ScaLAPACK solves dense and banded linear
- systems, least squares problems, eigenvalue problems, and singular value
- problems. In order to enable this feature, add
- -DSCALAPACK_DIR=/path/to/scalapack
to the argument list for
- cmake
. If ScaLAPACK does not have embedded BLACS, you might
- need to pass -DBLACS_DIR=/path/to/blacs
as well.
-
- SLEPc is a library for eigenvalue
- computations that builds on PETSc. Its configuration works
- just like that for PETSc, except that the variable to set
- is SLEPC_DIR
. For the interface with SLEPc to
- work, deal.II's PETSc interface must also
- be configured correctly (see above).
-
- To disable the SLEPc interfaces in cases where cmake
- automatically finds it, use -DDEAL_II_WITH_PETSC=OFF
.
- More information on configuring and building SLEPc can be
- found here.
-
+ scalapack is a library of high-performance linear algebra routines for parallel distributed memory machines. ScaLAPACK solves dense and banded linear systems, least squares problems, eigenvalue
+ problems, and singular value problems. In order to enable this feature, add
+ -DSCALAPACK_DIR=/path/to/scalapack
to the argument list for
+ cmake
. If ScaLAPACK does not have embedded BLACS, you might need to pass -DBLACS_DIR=/path/to/blacs
as well.
+
+ SLEPc is a library for eigenvalue computations that builds on PETSc. Its configuration works just like that for PETSc, except that the variable to set is SLEPC_DIR
.
+ For the interface with SLEPc to work, deal.II's PETSc interface must also be configured correctly (see above).
+
+ To disable the SLEPc interfaces in cases where cmake
automatically finds it, use -DDEAL_II_WITH_PETSC=OFF
. More information on configuring and building SLEPc can be found here.
+
+ SUNDIALS is a collection of solvers for nonlinear and differential/algebraic equations.
+ SUNDIALS should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version,
+ specify
+ -DSUNDIALS_DIR=/path/to/sundials
on the command line.
+
- The Threading Building Blocks (TBB)
- is a library that provides advanced services for using multiple
- processor cores on a single machine and is used
- in deal.II to parallelize many operations. If not
- found in a system-wide location, cmake
will
- resort to the version bundled as part of
- the deal.II download. It is always enabled unless
- threads are explicitly disabled, see above.
-
- Trilinos is a
- library for parallel linear algebra and all sorts of other things as
- well.
-
- To interface with a self compiled version of Trilinos
- add -DTRILINOS_DIR=/path/to/trilinos
to the
- argument list for cmake
. Alternatively, you can
- also set an environment variable TRILINOS_DIR
- and cmake
will pick up this path.
-
- To disable the Trilinos interfaces in cases where
- cmake
automatically finds it, use
- -DDEAL_II_WITH_TRILINOS=OFF
. More details about
- compatibility and configuration can be found
- here.
-
+ The Threading Building Blocks (TBB) is a library that provides advanced services for using multiple processor cores on a single machine and is used in deal.II to parallelize many operations. If not found in a system-wide location, cmake
will resort to the version bundled as part of the deal.II download. It is always enabled unless threads are explicitly disabled,
+ see above.
+
+ Trilinos is a library for parallel linear algebra and all sorts of other things as well. To interface with a self compiled version of Trilinos add -DTRILINOS_DIR=/path/to/trilinos
to the argument list for cmake
. Alternatively, you can also set an environment variable TRILINOS_DIR
and cmake
will pick up this path.
+
+ To disable the Trilinos interfaces in cases where
+ cmake
automatically finds it, use
+ -DDEAL_II_WITH_TRILINOS=OFF
. More details about compatibility and configuration can be found
+ here.
+
- UMFPACK,
- which is part of SuiteSparse, is a sparse direct solver that we often use
- in prototype codes where the goal is to simply get a linear system solved
- robustly. The interface will be enabled by default, either using a version
- installed on your system of using a version that comes bundled with
- deal.II. It can be disabled explicitly by using the
- -DDEAL_II_WITH_UMFPACK=OFF
argument.
- To use a self compiled version, pass the argument
- -DUMFPACK_DIR=/path/to/umfpack
to the
- cmake
command.
-
- SuiteSparse has its own license. To use it with deal.II, please read it
- and make sure that you agree with it. You can find the license of
- SuiteSparse inside the SuiteSparse download at the link given above. We
- include UMFPACK in the deal.II distributions courtesy of its
- author, Timothy
+
+ UMFPACK, which is part of SuiteSparse, is a sparse direct solver that we often use in prototype codes where the goal is to simply get a linear system solved robustly.
+ The interface will be enabled by default, either using a version installed on your system of using a version that comes bundled with
+ deal.II. It can be disabled explicitly by using the
+
+ SuiteSparse has its own license. To use it with deal.II, please read it and make sure that you agree with it. You can find the license of SuiteSparse inside the SuiteSparse download at the link given above. We include UMFPACK in the deal.II distributions
+ courtesy of its author, Timothy
A. Davis.
- -DDEAL_II_WITH_UMFPACK=OFF
argument. To use a self compiled version, pass the argument
+ -DUMFPACK_DIR=/path/to/umfpack
to the
+ cmake
command.
+
+ zlib is a software library used for lossless data-compression. It is used in deal.II whenever compressed data is to be written.
+ zlib should be readily packaged by most Linux distributions. (Don't forget to install a development version of the library). To use a self compiled version, specify
+ -DZLIB_DIR=/path/to/zlib
on the command line.
+
- The deal.II cmake
system allows far
- greater control over what exactly is configured or built than just the
- outline above. If you want to learn more about this, take a look
- here. You might also be interested in
- CMake for user projects or
- build system internals.
+ The deal.II cmake
system allows far greater control over what exactly is configured or built than just the outline above. If you want to learn more about this, take a look
+ here. You might also be interested in
+ CMake for user projects or
+ build system internals.
- The deal.II library is free software; you can use it, redistribute - it, and/or modify it under the terms of the - GNU Lesser General - Public License (LGPL) as published by the Free Software - Foundation; either version 2.1 of the License, or (at your option) - any later version. + The deal.II library is free software; you can use it, redistribute it, and/or modify it under the terms of the + GNU Lesser General + Public License (LGPL) as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version.
- This allows you to use the library free of charge for private, - academic, or commercial use (under the terms of the LGPL v2.1 or - later). You are guaranteed full access to the source code and are - encouraged to help in the further development of the library. Follow - this + This allows you to use the library free of charge for private, academic, or commercial use (under the terms of the LGPL v2.1 or later). You are guaranteed full access to the source code and are encouraged to help in the further development of the library. + Follow + this link for detailed information.
- Please note:
-