Below is a sample Pyhton script to automatically plot a generic data file using matplotlib. It will automatically read an arbitrary number of datasets from a file and plot each as a separate line in a matplotlib plot. Usage python3 plot.py input_data_filename output_filename [plot_title [y_axis_label]] The first argument is the name of the file containing
This page is meant as a brief overview and reference of the principal components of rocket aerodynamics, such as aerodynamic forces and design of nose cone, fins and boat-tail.
This page is meant as a reference of the principal components and other useful information about the OpenFOAM CFD toolkit.
This page is meant to give an overview of the general CFD workflow when in a large team, such as ARIS Space.
Below is a simple implementation of the producer-consumer parallel strategy with MPI. It’s just a dummy example, and could probably be improved greatly, but it is a nice illustration of the producer-consumer model, as well as uses for MPI_ANY_SOURCE, MPI_ANY_TAG, and MPI_Status. #include <stdio.h> #include <mpi.h> #include <time.h> #include <stdlib.h> #include <math.h> // Producer-consumer scheme
CUDA is a very powerful API which allows us to run highly parallel software on Nvidia GPUs. It is typically used to accelerate specific operations, called kernels, such as matrix multiplication, matrix decomposition, training neural networks et cetera. One such common operation is a reduction: adding up a long array of numbers. One simple implementation
In autumn 2018, I teamed up with classmates Silvia Nauer and Mikael Stellio for a project in the ETHZ course Physically-Based Simulation for Computer Graphics. The objective of our project was to create a video of a meteorite crashing into the sea, by implementing our own FLIP fluids solver and rendering the video with Blender.
As part of a Case Studies seminar at ETH, I recently studied and presented the paper behind AlphaGo, titled “Mastering the game of Go with deep neural networks and tree search”. This is a summary of my findings about this sophisticated AI software. Google DeepMind made quite a splash in 2016 when their AI AlphaGo
This is a summary of the introductory lecture to the coure Image Analysis and Computer Vision which I took at ETH in the autumn semester 2018. Interaction of light and matter Interactions of light and matter be divided into three main types (plus diffraction). Phenomenon Example Absorption Blue water Scattering Blue sky, red sunset Reflection
In the autumn semester of 2018 I took the course Robot Dynamics. The summary I took with me to the exam is available here in PDF format as well as in LaTeX format. Here’s an overview of the topics the course covered: Kinematics Rotation and angular velocity Rigid Body Formulation Homogeneous transformations Kinematics of systems