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2017 GTC San Jose

S7569 - High-Performance Data Loading and Augmentation for Deep Neural Network Training

Session Speakers
Session Description

Next-generation GPUs have revealed that data loading and augmentation can be a major bottleneck to accelerating deep neural network training on many-GPU distributed systems. This work presents the design and implementation of a high-performance data loading and augmentation system for the Expresso deep learning framework developed by Samsung. Our system leverages multiple levels of parallelism and automatic runtime performance tuning to achieve speedups of 15.5% on average across our experiments.


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Talk
Deep Learning and AI HPC and Supercomputing
Higher Education / Research Software
50 minutes
Session Schedule