Projects
Currently we are working on the following funded projects:
EnergyDoldrums (2024 – 2028)
The demand for HPC resources is continuously rising, with AI being the main driver. However, high energy costs and variable renewable energy sources create serious challenges. In response, HPC providers may adapt their capacity dynamically, renewing the interest in malleable jobs, which can adjust their resources as needed. AI training workloads, with their well-defined checkpoints, are naturally malleable. This project develops scheduling algorithms for adaptive workloads on variable-capacity systems, using theoretical analysis and simulation to optimize distributed deep-learning efficiency.
NFDIxCS (2023 – 2028)
The diversity and complexity of domain-specific data structures introduced by the variety of subdisciplines in computer science pose a challenge for the scientific community to achieve reusability when storing research data. The NFDIxCS consortium aims to identify, define, and deploy services to store domain-specific data by applying the FAIR principles and storing research data alongside related metadata, its corresponding software, context, and execution instructions, assembling all services in a cooperative and interoperable infrastructure.
NHR4CES (2021 – 2030)
A national high-performance computing center for computational engineering. In this project, RWTH Aachen and TU Darmstadt join forces to combine their existing strengths in HPC applications, algorithms and methods, and the efficient use of HPC hardware. NHR4CES aims to create an HPC ecosystem combining best practices of HPC and research data management. The focus of NHR4CES will be on engineering and materials science, and engineering-oriented physics, chemistry, and medicine. Our contribution lies in the area of parallelism and performance.
