Julia for Scientific Computing and Data Science
Information
The Julia programming language [1] represents a modern approach to scientific computing and data science, combining a user-friendly, expressive syntax similar to Python with the high computational performance found in C/C++ and Fortran. This dual advantage makes Julia a compelling choice for a wide range of computational tasks, from quickly prototyping innovative ideas to running complex, large-scale production workloads on diverse hardware platforms.
Our event seeks to connect users and developers at the University of Augsburg, whether they are new to using Julia for scientific research or already have some experience. We aim to identify shared challenges that could benefit from joint efforts and to explore potential future Julia-focused collaborations. The event will include a series of Julia presentations to inspire dialogue, including a brief introduction to performance optimization, alongside an open-topic birds-of-a-feather session for informal discussions.
Organizers: Valentin Churavy, Michael Schlottke-Lakemper, Tatjana Stykel
Registration
Registration is not mandatory but appreciated, since it allows us to gather information about people interested in using Julia for computational science. Thus, please consider registering even if you are not able to attend the event but would still like to be kept in the loop about potential future activities.
Schedule
Schedule 18.12.24
Directions
University of Augsburg
Building I2, Room 1309Universitätsstraße 12a
86159 Augsburg
Germany
