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GTC ON-DEMAND

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Abstract:
Learn how to use NVIDIA tools to understand GPU utilization in a deep learning model. Traditionally, profiling is program optimization, including tasks like removing unnecessary code and addressing gaps and wait times. Profiling for deep learning networks is an end-to-end workflow from data input to inference. It involves understanding the data pipeline, the neural network structure and post processing.
Learn how to use NVIDIA tools to understand GPU utilization in a deep learning model. Traditionally, profiling is program optimization, including tasks like removing unnecessary code and addressing gaps and wait times. Profiling for deep learning networks is an end-to-end workflow from data input to inference. It involves understanding the data pipeline, the neural network structure and post processing.  Back
 
Topics:
Deep Learning & AI Frameworks
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9339
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