Producer-consumer scheme with MPI

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: efficient parallel reduction

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

IACV lecture 1: light, lenses and cameras

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

Exam summary: Robot Dynamics

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

C++: the Named Parameter Idiom

Some times you will have a large C++ class with many parameters that need initializing. That can lead to some ugly constructor calls: auto popsim = PopulationSim(1000, 100000, 1000, 1000, 1500, 0.17, 0.05, 32, 3, 1, 7, 1); This makes the code very hard to maintain and debug, as there is no easy way to

Lecture summary: Programming Techniques for Scientific Simulations

During the autumn semester of 2017 I took the course “Programming Techniques for Scientific Simulations” as part of my BSc course in Computational Science and engineering at ETH Zürich. This is a summary of the course’s contents I wrote and used during the actual exam. Some things are missing, as it was an open-book exam