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tamaas/README.md
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# Build
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
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.
# Coding
## C++
All classes and functions in Tamaas live in the \`tamaas\` namespace. Here is an example main:
using namespace tamaas;
int main (int argc, char * argv[]) {
// Initializing tamaas
initialize();
// Surface parameters
const UInt grid_size = 1024;
const UInt k0 = 4, k1 = 4, k2 = 32;
const Real hurst = 0.8;
const Real rms = 0.1;
// Surface generator
SurfaceGeneratorFilterFFT sg;
sg.getGridSize() = grid_size;
sg.getQ0() = k0;
sg.getQ1() = k1;
sg.getQ2() = k2;
sg.getRMS() = rms;
sg.getHurst() = hurst;
sg.getRandomSeed() = 56;
sg.Init();
Surface<Real> & surface = sg.buildSurface();
// BEM object
BemPolonski bem(surface);
bem.setEffectiveModulus(1.);
// Solving equilibrium
Real load = 0.01;
bem.computeEquilibrium(1e-12, load);
Surface<Real> & tractions = bem.getTractions();
Surface<Real> & displacements = bem.getDisplacements();
// Cleaning up tamaas
finalize();
}
## Python
Tamaas also has a python interface. Here is an example:
import numpy as np
import tamaas as tm
tm.initialize()
# Surface generation
SG = tm.SurfaceGeneratorFilterFFT()
SG.getGridSize().assign(512)
SG.getHurst().assign(0.8)
SG.getRMS().assign(1.);
SG.getQ0().assign(4);
SG.getQ1().assign(4);
SG.getQ2().assign(32);
SG.getRandomSeed().assign(156);
SG.Init()
surface = SG.buildSurface()
bem = tm.BemPolonski(surface)
bem.setEffectiveModulus(1.)
load = 0.01
bem.computeEquilibrium(1e-12, load)
tractions = bem.getTractions()
displacements = bem.getDisplacements()
tm.finalize()
# 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.
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