Hendrik Ranocha

I am interested in numerical analysis and scientific computing with applications in science and engineering. In particular, I like to analyze and develop numerical methods for differential equations, focusing on stability, mimetic properties, structure preservation, and efficiency. I started with the common mix of C, C++, Fortran, Python, Matlab, Mathematica etc. Nowadays, I am using Julia nearly exclusively for my work. Currently, I am an Assistant Professor in Applied Mathematics at the University of Hamburg. If you want to know more about me, please visit my website.


14:00 UTC

Julia for High-Performance Computing

The "Julia for HPC" minisymposium aims to gather current and prospective Julia practitioners in the field of high-performance computing (HPC) from multidisciplinary applications. We invite participation from industry, academia, and government institutions interested in Julia’s capabilities for supercomputing. The goal is to provide a venue for Julia enthusiasts to share best practices, discuss current limitations, and identify future developments in the scientific HPC community.

Platinum sponsors

Julia ComputingRelational AIJulius Technology

Gold sponsors


Silver sponsors

Invenia LabsBeacon BiosignalsMetalenzASMLG-ResearchConningPumas AIQuEra Computing Inc.Jeffrey Sarnoff

Media partners

Packt PublicationGather TownVercel

Community partners

Data UmbrellaWiMLDS

Fiscal Sponsor