Hi there! My name is Adrian Kummerländer. I am a software developer by vocation and a mathematician by degree, currently pursuing a doctorate at LBRG in the intersection between HPC and LBM. On these pages you will find articles covering some of my experiences in software development and related tinkerings as well as repositories and information on some of my personal projects. If you have any comments or questions feel free to reach out. I hope you will find something here worth your time.

### » Working with tuples using swallowing and generic lambdas

May 26, 2020 | Adrian Kummerländer

Suppose you have some kind of list of types. Such a list can by itself be used to perform any compile time computation one might come up with. So let us suppose that you additionally want to construct a tuple from something that is based on this list. i.e. you want to connect the compile time only type list to a run time object. In such a case you might run into new question such as: How do I call constructors for each of my tuple values? How do I offer access to the tuple values using only the type as a reference? How do I call a function for each value in the tuple while preserving the connection to the compile time list? If such questions are of interest to you, this article might possibly also be.

### » A Year of Lattice Boltzmann

December 31, 2019 | Adrian Kummerländer

To both not leave the 2010s behind with just one measly article in their last year and to showcase some of the stuff I am currently working on this article covers a bouquet of topics – spanning both math-heavy theory and practical software development as well as travels to new continents. As to retroactively befit the title this past year of mine was dominated by various topics in the field of Lattice Boltzmann Methods. CFD in general and LBM in particular have shaped to become the common denominator of my studies, my work and even my leisure time.

### » Expressive meta templates for flexible handling of compile-time constants

May 25, 2019 | Adrian Kummerländer

So we recently released a new version of OpenLB which includes a major refactoring of the central datastructure used to handle various kinds of compile-time constants required by the simulation. This article will summarize the motivation and design of this new concept as well as highlight a couple of tricks and pitfalls in the context of template metaprogramming.

### » Molecular Dynamics Simulation of the Benzene Dimer

March 31, 2021 at 20:05 | Adrian Kummerländer

One of the last lectures for my master’s degree was on numerical simulation in molecular dynamics. For the examination project I developed a GPU MD code capable of reproducing certain preferred configurations the benzene dimer.

### » Just-in-time volumetric CFD visualization

July 24, 2020 at 14:15 | Adrian Kummerländer

For my seminar talk I wrote another LBM solver as a literate Org-document using CUDA and SymPy. The main focus was on just-in-time volumetric visualizations of the simulations performed by this code. While this is not ready to publish yet, check out the following impressions:

Further videos are available on my YouTube channel. e.g. a Taylor-Couette flow:

### » Visualizing the velocity distribution of a hard sphere gas

March 24, 2020 at 21:42 | Adrian Kummerländer

The velocity distribution of a system of colliding hard sphere particles quickly evolves into the Maxwell-Boltzmann distribution. One example of this surprisingly quick process can be seen in the following video:

### » Visualize the sky for arbitrary time and space coordinates on earth

January 11, 2020 at 21:12 | firmament | 071bc3 | Adrian Kummerländer

The primary color of the sky is caused by Rayleigh and Mie scattering of light in the atmosphere. While attending the lecture on Mathematical Modelling and Simulation at KIT I implemented a ray marcher to visualize this. Together with a model for calculating the sun direction for given coordinates and times this allows for generating interesting plots:

For more details check out Firmament.

### » Started working on a framework for generating LBM kernels

October 27, 2019 at 22:35 | Adrian Kummerländer

During the past exam season I now and then continued to play around with my GPU LBM code symlbm_playground. While I mostly focused on generating various real-time visualizations using e.g. volumetric ray marching, the underlying principle of generating OpenCL kernels from a symbolic description has not lost its promise.

This is why I have now started to extract the generator part of this past project into a more general framework. Currently boltzgen targets C++ and OpenCL using a shared symbolic description while providing various configuration options:

λ ~/p/d/boltzgen (boltzgen-env) ● ./boltzgen.py --help
usage: boltzgen.py [-h] --lattice LATTICE --layout LAYOUT --precision
PRECISION --geometry GEOMETRY --tau TAU [--disable-cse]
[--functions FUNCTIONS [FUNCTIONS ...]]
[--extras EXTRAS [EXTRAS ...]]
language

Generate LBM kernels in various languages using a symbolic description.

positional arguments:
language              Target language (currently either "cl" or "cpp")

optional arguments:
-h, --help            show this help message and exit
--lattice LATTICE     Lattice type (D2Q9, D3Q7, D3Q19, D3Q27)
--layout LAYOUT       Memory layout ("AOS" or "SOA")
--precision PRECISION
Floating precision ("single" or "double")
--geometry GEOMETRY   Size of the block geometry ("x:y(:z)")
--tau TAU             BGK relaxation time
--disable-cse         Disable common subexpression elimination
--functions FUNCTIONS [FUNCTIONS ...]
Function templates to be generated
--extras EXTRAS [EXTRAS ...]