Author: Anna Kahler

Title: DGEMM on Integer Tensor Cores Speaker: Hiroyuki Ootomo, Tokyo Institute of Technology Date and time: Tuesday, September 5, 2023, 2:00-3:00 p.m. CEST Slides https://youtu.be/ouK0gwYOA_Y Abstract: In order to meet the increasing demand for dense matrix-matrix multiplication from...

This course covers an introduction into the molecular dynamics engine GROMACS, including fundamental commands and applications. Over five days, the participants will learn how to prepare and run simulations of biomolecular systems (e.g. including membranes and proteins) at an atomistic and coars...

The eighth NHR@FAU Newsletter is now available. The newsletter is a publication that summarizes recent and upcoming events in and around the Erlangen National High Performance Computing Center. These are the current topics: Official Application Process for NHR@FAU Resources •  Welcome Dr. Shahzad...

Speaker: Tze Meng Low, Carnegie Mellon University Title: Designing for Portable, Efficient and Explainable Performance Date and time: Tuesday, May 10, 2:00 p.m. - 3:00 p.m. Slides https://youtu.be/wnMp7s-L03o Abstract: Modern computing platforms are becoming more complex, and more difficult t...

NHR@FAU has recently installed its new GPU cluster "Alex", which is currently undergoing user-side testing until it is ready for general use. Alex has a total of 192 Nvidia A100 and 304 Nvidia A40 GPGPUs that will be available nation-wide soon; we decided to run some Gromacs benchmarking tests of MD...

In light of our new cluster procurement for NHR@FAU, we ran several benchmarks on both an Intel Xeon "Ice Lake" Platinum 8360Y node (2x 36 cores + SMT) and different NVIDIA GPUs to determine the optimal hardware configuration for our users. For the corresponding host CPUs of the GPUs, please visit o...

Many of our users at FAU are aware that it is possible to allocate more than one GPU on a TinyGPU node. The reason behind running a calculation on more than one GPU is quite simply a hope for increased performance, since gathering the appropriate amount of data for research is often time consuming. ...