Data Intensive Computing – High Performance Computing
The High Performance Computing and Storage Complex (HRSK-II) and its extension High Performance Computing – Data Analytics (HPC-DA) offers scientists about 60,000 CPU cores and a peak performance of more than 1.5 quadrillion floating point operations per second. The architecture specifically tailored to data-intensive computing, Big Data analytics, and artificial intelligence methods with extensive capabilities for energy measurement and performance monitoring provides ideal conditions to achieve the ambitious research goals of the users and the ZIH.
High Performance Computing at NHR@TUD
As on of the centers for National High Performance Computing (NHR) ZIH offers special HPC resources as well as individual support and consulting. The systems are available to all scientists from all over Germany.
The HPC system „Barnard“ with about 60,000 CPU cores, operated by ZIH, achieves a peak performance of more than 4 PFlop/s (quadrillion floating point operations per second). Additionally, the system is equipped with a shared storage of about 40 Petabyte. Therefore it provides the basis to successfully investigate compute-intensive and data-intensive problems of various scientific disciplines, like computational fluid dynamics, weather and climate modeling, material science, electrodynamics, life sciences, and bioinformatics.
Furthermore, systems with 192 GPU accelerators and 2PB fast flash memory are available especially for data analytics, machine learning, and artificial intelligence applications.
Software environments for various research topics are available on the system.
The national Big Data and AI competence center ScaDS.AI Dresden/Leipzig consults and supports users around the topics artificial intelligence, data analytics, and high performance computing. Primarily for users of ScaDS.AI ZIH operates an additional system with 312 Nvidia A100 GPUs optimized for machine learning applications.
The data center of the Lehmann Center (LZR) of the TU Dresden combines security and high availability with high power density and long term flexible usability. It is characterized by energy efficiency and, thus, cost efficiency. Hot water cooling for the HPC systems significantly reduces operating costs by eliminating the need for chillers. Additional savings derive from the reuse of computer-dissipated heat in the surrounding buildings. The cooling concept was awarded in 2014 the “German Computing Center Prize” in the category “Energy and Resource Efficient Computing Center”.