HPC Bytes: Deep Learning I/O: Profiling and Optimization

HPC Bytes: Deep Learning I/O: Profiling and Optimization

Content

HPC-Häppchen: Deep Learning I/O: Profiling and Optimization

Efficient data input pipelines are essential for optimizing Deep Learning model performance, especially when dealing with large datasets. This presentation explores how to profile and optimize data pipelines using TensorBoard's built-in tools. We will cover key techniques for identifying bottlenecks, improving data loading efficiency, and maximizing GPU utilization.

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Big Blue Button Link <https://webconf.hrz.uni-marburg.de/n/rooms/hsy-cmh-knb-ndw/join

Access Code: kw7i98

Participating Universities