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2018 GTC Washington DC

DC8175 - Accelerating Understanding: The Convergence of HPC and AI in a Post-Moore Law's World

Session Speakers
Session Description

Most AI researchers and industry pioneers agree that the wide availability and low cost of highly-efficient and powerful GPUs and accelerated computing parallel programming tools (originally developed to benefit HPC applications) catalyzed the modern revolution in AI/Deep Learning. Now, AI methods and tools are starting to be applied to HPC applications to great effect. This talk will describe an emergent workflow that uses traditional HPC numeric simulations to generate the labeled data sets required to train machine learning algorithms, then employs the resulting AI models to predict the computed results, often with dramatic gains in efficiency, performance, and even accuracy. Some compelling success stories will be shared, and the implications of this new HPC + AI workflow on HPC applications and system architecture in a post-Moore's Law world considered.


Additional Information
HPC & Supercomputing
HPC & Supercomputing
General
All technical
Talk
50 minutes
Session Schedule