ZIB's "Distributed Algorithms and Supecomputing" department performs research on algorithms for innovative architectures, applied high-performance computing, distributed data management, dynamics of complex materials and efficient large-scale computing in life sciences.
We conduct interdisciplinary research in the areas of hardware and software technologies for high-performance computing and scientific computing. This includes scalable, fault-tolerant algorithms, scientific workflow management, I/O monitoring and steering, modern interconnects, and resilience in large scale systems.
Together with technology providers, domain scientists and the NHR Center at ZIB, we leverage new technologies for life science, chemistry, materials science, and numerical mathematics. We design algorithms for heterogeneous systems such as GPUs, FPGAs, vector engines, high‑bandwidth memory, storage‑class memory, and NVMe storage, and help developers integrate them.