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GTC ON-DEMAND

Artificial Intelligence and Deep Learning
Presentation
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High-Performance Data Loading and Augmentation for Deep Neural Network Training
Abstract:
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.
 
Topics:
Artificial Intelligence and Deep Learning, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7569
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