Analyzing Deep Learning APIs and Applications with HPC performance tools

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 analyse DeepLearning application's performance.

The course is free of charge. Please register here: Deep Learning

You will receive the access data via email to your registered email address before the event. If you have any questions, please do not hesitate to contact Ms. Anja Gerbes  ().