# Performance¶

## Parallelism¶

Tamaas implements shared-memory parallelism using thrust. The Thrust backend can be controlled with
the following values of the `backend`

build option:

`omp`

Thrust uses its OpenMP backend (the default). The number of threads is controlled by OpenMP.

`cpp`

Thurst does not run in threads (i.e. sequential). This is the recommanded option if running multiple MPI tasks.

`tbb`

Thrust uses its TBB backend. Note that this option is not fully supported by Tamaas.

Tip

When using the OpenMP or TBB backend, the number of threads can be
manually controlled by the `initialize`

function. When OpenMP is selected for the backend, the environment variable
`OMP_NUM_THREADS`

can also be used to set the number of threads.

FFTW has its own system for thread-level parallelism, which can be controlled
via the `fftw_threads`

option:

`none`

FFTW does not use threads.

`threads`

FFTW uses POSIX/Win32 threads for parallelism.

`omp`

FFTW uses OpenMP.

Note

As with the Thrust backend, the number of threads for FFTW can be
controlled with `initialize`

.

Finally, the boolean variable `use_mpi`

controls wheter Tamaas is compiled
with MPI-parallelism. If yes, Tamaas will be linked against `libfftw3_mpi`

regardless of the thread model.

Important

Users wary of performance should use MPI, as it yields remarkably better scaling properties than the shared memory parallelism models. Care should also be taken when compiling with both OpenMP and MPI support: setting the number of threads to more than one in an MPI context can decrease performance.

## Integration algorithm¶

In its implementation of the volume integral operators necessary for elastic-plastic solutions, Tamaas differenciates two way of computing the intermediate integral along \(z\) in the partial Fourier domain:

Cutoff integration: because the intermediate integral involves kernels of the form \(\exp(q(x-y))\), it is easy to truncate the integral when \(x\) and \(y\) are far apart, especially for large values of \(q\). This changes the complexity of the intermediate integral from \(O(N_1N_2N_3^2)\) (the naive implementation) to \(O(\sqrt{N_1^2 + N_2^2}N_3^2)\).

Linear integration: this method relies on a separation of variables \(\exp(q(x-y)) = \exp(qx)\cdot\exp(-qy)\). This allows to break the dependency in \(N_3^2\) of the number of operations, so that the overall complexity of the intermediate integral is \(O(N_1N_2N_3)\).

Details on both algorithms can be found in 1. Tamaas uses linear integration by default because it is faster in many cases without introducing a truncation error. Unfortunatly, it has a severe drawback when considering systems with a fine surface discretization: due to \(q\) increasing with the number of points on the surface, the separated terms \(\exp(qx)\) and \(\exp(-qy)\) may overflow and underflow respectively. Tamaas will warn if that is the case, and users have two options to remedy the situation:

Change the integration method by calling

`setIntegrationMethod`

with the desired`integration_method`

on the`Residual`

object you use in the computation.Compile Tamaas with the option

`real_type='long double'`

. To make manipulation of numpy arrays easier, a`dtype`

is provided in the`tamaas`

module which can be used to create numpy arrays compatible with Tamaas’ floating point type (e.g.`x = np.linspace(0, 1, dtype=tamaas.dtype)`

)

Both these options negatively affect the performance, and it is up to the user to select the optimal solution for their particular use case.

## Computational methods & Citations¶

Tamaas uses specialized numerical methods to efficiently solve elastic and elastoplastic periodic contact problems. Using a boundary integral formulation and a half-space geometry for the former allow (a) the focus of computational power to the contact interface since the bulk response can be represented exactly, (b) the use of the fast-Fourier transform for the computation of convolution integrals. In conjunction with a boundary integral formulation of the bulk state equations, a conjugate gradient approach is used to solve the contact problem.

Note

The above methods are state-of-the-art in the domain of rough surface contact. Below are selected publications detailing the methods used in elastic contact with and without adhesion:

Boundary integral formulation:

Stanley and Kato (J. of Tribology, 1997)

Conjugate Gradient:

Polonsky and Keer (Wear, 1999)

Rey, Anciaux and Molinari (Computational Mechanics, 2017)

Frictional contact:

For elastic-plastic contact, Tamaas uses a similar approach by implementing a
*volume* integral formulation of the bulk equilibrium equations. Thanks to
kernel expressions that are directly formulated in the Fourier domain, the
method reduces the algorithmic complexity, memory requirements and sampling
errors compared to traditional volume integral methods (Frérot, Bonnet, Anciaux
and Molinari, Computer Methods in Applied Mechanics and Engineering, 2019, arxiv:1811.11558). The figure below shows a
comparison of run times for an elasticity problem (only a single solve step)
between Tamaas and Akantu, a
high-performance FEM code using the direct solver MUMPS.

Further discussion about the elastic-plastic solver implemented in Tamaas can be found in Frérot, Bonnet, Anciaux and Molinari, (Computer Methods in Applied Mechanics and Engineering, 2019, arxiv:1811.11558).

- 1
L. Frérot, “Bridging scales in wear modeling with volume integral methods for elastic-plastic contact,” École Polytechnique Fédérale de Lausanne, 2020 (Section 2.3.2). 10.5075/epfl-thesis-7640.