NHR@FAU at a glance
Welcome to the Erlangen National High Performance Computing Center (NHR@FAU).
We offer resources, services and training in the fields of HPC and AI/ML to German researchers.
Our interdisciplinary team
operates state-of-the-art supercomputers,
offers in-depth user and specialized application support,
offers dedicated AI support and a related training program,
provides HPC-related lectures,tutorials, and training, and
develops performance tools.
Our fields of expertise and research include
node-level performance engineering for CPUs and GPUs,
hardware-efficient and scalable building blocks for sparse solvers, and
atomistic simulations in all fields of science,
artificial intelligence and machine learning.
The Erlangen National High Performance Computing Center (NHR@FAU) is a central institution of FAU. Within FAU it complements the general IT-services of RRZE. Jointly with Leibniz-Rechenzentrum (LRZ) Garching it operates the BayernKI infrastructure. Together with eight other HPC centers at German universities it forms the NHR Alliance and offers Tier-2 class capabilities on a national basis.
NHR@FAU’s organizational concept is designed to address high performance computing (HPC) and AI/ML in all their facets, including infrastructure design and operation, user support, in-depth collaborations with developers and application scientists, training, research, and specialized application expertise.
A focal point of our application related support activities are atomistic simulations ranging from quantum physics/chemistry to classical molecular dynamics applications. Within the NHR Alliance we collaborate with NHR@ZIB and PC2 in the Atomistic Simulation Center and offer expert support in chemistry, physics and molecular dynamics simulations.
NHR@FAU has a strong background in the fields of Performance Engineering (PE) for CPUs/GPUs and Performance Tools. We pursue active research and development and offer numerous trainings on these topics and coordinate related NHR-wide activities.
Our AI/ML experts support the broad community to enable and advance their AI/ML research on our large-scale central infrastructure. It is integral part of NHR activities and a central pillar of the BayernKI support services.