#+TITLE: Welcome to Tamaas, the Rough surface toolkit of LSMS

• 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

• Coding
  • C++

All classes and functions in Tamaas live in the tamaas namespace. Here is an example main:

#+NAME: Example main #+BEGIN_SRC c++ 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();

} #+END_SRC

• Python

Tamaas also has a python interface. Here is an example:

#+NAME: Python example #+BEGIN_SRC python 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() #+END_SRC

• Paralellism

Tamaas features shared-memory paralellism with OpenMP. The number of threads can be controlled via the OMP_NUM_THREADS environement variable or the omp_set_num_thread() function in the OpenMP API.