NHR4CES@TUDa

Technische Universität Darmstadt

Darmstadt

Close-up of a supercomputer cabinet labelled "Lichtenberg II – Ausbaustufe 2" at TU Darmstadt, decorated with a graphic of a city skyline with colourful data visualisation lines in green and blue.

High speed for science: NHR4CES@TUDa empowers researchers, especially in the engineering sciences, to take their scientific work to the next level with HPC. As the National High Performance Computing Center for Computational Engineering Science, we offer cutting-edge computing infrastructure with our state-of-the-art Lichtenberg system. In addition to high-performance hardware, NHR4CES provides scientific support and a variety of training opportunities to help users use our computing resources as efficiently as possible.

 

Key Expertise and Profile

  • Cross-Sectional Groups (CSGs): Our CSGs develop and advance core HPC methodologies that are applicable across multiple scientific disciplines, including Scientific Visualization, Data Management, AI, and parallel Computing and Performance Optimization.
  • Simulation and Data Labs (SDLs): Our SDLs provide domain-specific expertise by connecting advanced HPC methods to research fields such as energy technologies, digital healthcare, fluid mechanics, and materials science.
  • Scientific Support: We support researchers in using high-performance computing efficiently through expert consulting, methodological guidance, and close collaboration between HPC infrastructure experts and application scientists.
  • Flagship Collaboration: NHR4CES combines the complementary expertise of TU Darmstadt and RWTH Aachen University, enabling researchers to benefit from shared resources, collaborative knowledge, and flexible access to HPC systems across both NHR centers.Check out NHR4CES@RWTH!

NHR4CES@TUDa is also a member of HKHLR, the regional HPC competence network of Hessia.

Website

Contact

Technical Specifications

Center NameNHR4CES@TUDa
Total Resources:
# CPU-Cores120 888
# GPUs100
Additional Information
max. job run time [h]168
jupyter notebook available [y/n]n
CPU Resources:
System 1Lichtenberg II Stage 1
CPU-TypeIntel Cascadelake
# nodes632
# Cores per node96
memory per node [GB]384 - 1536
System 2Lichtenberg II Stage 2
CPU-TypeIntel Sapphire Rapids
# nodes579
# Cores per node104
memory per node [GB]512 - 2048
GPU Resources
System 1Lichtenberg II Stage 1
GPUs per node4 x Nvidia V100
# nodes4
memory per GPU [GB]32
System 2Lichtenberg II Stage 1
GPUs per node4 x Nvidia A100
# nodes7
memory per GPU [GB]40
System 3Lichtenberg II Stage 2
GPUs per node4 x Nvidia H100
# nodes2
memory per GPU [GB]80
System 4Lichtenberg II Stage 2
GPUs per node4 x Intel Ponte Vecchio
# nodes5
memory per GPU [GB]128
System 5Lichtenberg II Stage 2
GPUs per node8xAMD MI300x
# nodes2
memory per GPU [GB]192