NHR Tutorial

• Datum: 24.10.2023 09:00 - 13:00 Uhr
• Ort: online, Link will be send out later
• Teilnehmerbegrenzung: 30
• Kontaktpersonen: Anja Gerbes, Holger Brunst

Deep Learning APIs such as TensorFlow or PyTorch usually do not guarantee efficient use of HPC resources. With existing HPC tools, the efficiency analysis of Deep Learning applications is more difficult than for classical HPC applications. This tutorial aims to bridge the gap between Deep Learning APIs and classical HPC infrastructure and presents practical approaches and recipes for efficient model training on HPC resources. Moreover, we show methods to analyze DeepLearning application's performance.

Further NHR-Courses at ZIH:https://tu-dresden.de/zih/hochleistungsrechnen/nhr-training

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