High-Perfomance Optimization Software

The SynLab works at the interface between data-driven technologies and societally relevant challenges. It develops advanced methods in mathematical optimization and machine learning to support decision-makers in sectors such as energy, health, and mobility. Over the previous two funding phases, the lab built the SCIP Optimization Suite into a powerful platform that makes high-performance optimization methods available across a wide range of applications. In the current phase, the focus is on bridging mathematical optimization and machine learning and on leveraging modern hardware, from GPU-accelerated solver components to resource-efficient deep learning.