Distributed Computing workshops

This practical introduction develops reproducible scientific workflows using Nextflow. Participants learn channels, processes, operators, executors, configuration, parameters and reusable modules, then apply them to an RNA-seq pipeline. The course shows how containerized dependencies and the dataflow programming model support execution on local machines, clusters and cloud infrastructure. Familiarity with Linux or macOS and a command shell is strongly recommended. Online sessions run 09:30–13:30 CET and the listed fee is €380.

Communication complexity studies how cooperating parties solve computational problems while exchanging as little information as possible. This workshop addresses its core theory and applications to streaming and sublinear algorithms, data structures, distributed computation, learning, cryptography and game theory. Participants will connect methods from probability, combinatorics, graph theory, matrix analysis and information theory. Cross-disciplinary collaboration is intended to advance open problems, reveal relationships between these areas and support emerging researchers.