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GTC ON-DEMAND

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Abstract:
We'll discuss how ImageNet can be trained from scratch to standard benchmark accuracy in 19 minutes on 64 NVIDIA Tesla V100 GPUs by relying solely on open-source tools and publicly available cloud infrastructure. Although previous efforts in this area used dedicated cluster hardware and specialized Internet adapters, our implementation performs well over Ethernet in a shared cloud environment. We'll walk through algorithmic improvements needed to achieve this result and lessons we learned in the process.
We'll discuss how ImageNet can be trained from scratch to standard benchmark accuracy in 19 minutes on 64 NVIDIA Tesla V100 GPUs by relying solely on open-source tools and publicly available cloud infrastructure. Although previous efforts in this area used dedicated cluster hardware and specialized Internet adapters, our implementation performs well over Ethernet in a shared cloud environment. We'll walk through algorithmic improvements needed to achieve this result and lessons we learned in the process.  Back
 
Topics:
Data Center & Cloud Infrastructure, Deep Learning & AI Frameworks, Computer Vision
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9573
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