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GTC ON-DEMAND

HPC and AI
Presentation
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ORNL Summit: Scaling Deep Learning for Scientific Workloads on Summit
Abstract:
HPC centers have been traditionally configured for simulation workloads, but deep learning has been increasingly applied alongside simulation on scientific datasets. These frameworks do not always fit well with job schedulers, large parallel file systems, and MPI backends. We'll discuss examples of how deep learning workflows are being deployed on next-generation systems at the Oak Ridge Leadership Computing Facility. We'll share benchmarks between native compiled versus containers on Power systems, like Summit, as well as best practices for deploying learning and models on HPC resources on scientific workflows.
 
Topics:
HPC and AI, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8551
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