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tamaas/README.md
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# Dependencies
## Core
FFTW3_OMP, python(2|3), numpy, thrust, boost (preprocessor), g++/clang++ with C++11 and OpenMP support
## Cuda
Cuda 8.0 or higher. Compute capacity 3.5.
## Doc
Doxygen, Mercurial
# Build
## First time building
You should first clone the git submodules that are dependencies to tamaas (pybind11 and googletest, optional):
git submodule update --init --recursive
The build system uses SCons. In order to construct the library you should hit:
scons
And to speedup the process you can do:
scons -j 6
In order to clean the build
scons -c
In order to compile in debug
scons build_type=debug
Indeed the default was
scons build_type=release
In order to make the compilation more verbose
scons verbose=true
Tamaas relies on thrust for parallelism. You can change the thrust backend using the appropriate option:
scons backend=cuda
For a list of *all* compilation options:
scons -h
You can edit the file `build-setup.conf` to change the available compilation options.
You can customize a few compilation variables:
- `CXX` changes the compiler
- `CXXFLAGS` adds flags to the compilation process
For example:
- `scons CXX=icpc` compiles with the intel C++ compiler
- `CXXFLAGS=-mavx2 scons` adds the `-mavx2` flag (which enables some Intel instructions) to the compilation process
If the `CXX` variable is defined in your environment, `scons` will take it as a default compiler.
## Build the doxygen
Make sure you have Mercurial and Doxygen installed (and graphviz for the nice graphs).
scons build_doc=true
# Coding
## Python
Tamaas is mainly used through the python interface. An example can be found in `examples/new_contact.py`.
The example `examples/new_adhesion.py` shows how one can derive a Tamaas (C++) class in python.
## C++
TODO: update the example
# Paralellism
Tamaas features shared-memory paralellism with OpenMP. The number of threads can be
controlled via the `OMP_NUM_THREADS` environment variable or the `omp_set_num_thread()`
function in the OpenMP API.
## Cuda
To compile Tamaas with Cuda support use the following
scons backend=cuda
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