Allgemein

Browse all posts in the Allgemein category.

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12AUG 2021
Allgemein
August 2021 NHR@FAU Newsletter
It is our pleasure to announce the third NHR@FAU Newsletter. The newsletter is a publication that summarizes recent and upcoming events in and around the Erlangen National High Performance Computing Center. Beyond events, every newsletter highlights special or noteworthy achievements by NHR scientists and an FAQ corner. Finally, the “newsletter spotlight” introduces an NHR scientist […]
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10AUG 2021
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Gromacs Shootout: Intel Xeon Ice Lake vs. NVIDIA A100, A40, and others
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 our documentation pages on […]
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30JUL 2021
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Webinar: LIKWID, OSACA, and Sparse Matrix-Vector Multiplication (SpMV) on the A64FX Processor
On July 27, 2021 we presented an open webinar with lectures and demos/hands-on for the Institute for Advanced Computational Science at Stony Brook University, showcasing the tools likwid-topology, likwid-pin, likwid-perfctr, and OSACA for analyzing the performance of SpMV on the A64FX processor with the help of the Roofline performance model. The demos were conducted on […]
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18JUN 2021
Allgemein
Multi-GPU GROMACS Jobs on TinyGPU
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. So […]
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18MAY 2021
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NHR PerfLab Seminar Talk: ALTO: Adaptive Linearized Storage of Sparse Tensors
We are happy to announce a talk by Jan Laukemann (Intel Labs) in the NHR PerfLab seminar. Title: ALTO: Adaptive Linearized Storage of Sparse Tensors Abstract: The analysis of high-dimensional sparse data is becoming increasingly popular in many important domains. However, real-world sparse tensors are challenging to process due to their irregular shapes and data […]
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28APR 2021
Allgemein
Protected: Abfrage Lehrveranstaltungen NHR@FAU
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