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Tuesday, July 11 • 2:00pm - 3:00pm
NVIDIA: The Convergence of HPC and Deep Learning

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Science is being enabled by Supercomputing, whether it’s climate science, combustion science, or understanding the fundamentals of how the human body works. What’s exciting is that the same technology enabling this powerful science is also enabling the revolution in deep learning, and it’s being enabled by GPUs. This session will explain how the rapid advancement of deep learning for artificial intelligence has created an enormous demand for computational resources outside the traditional supercomputing domains.  NVIDIA is uniquely suited to address these evolving needs with accelerated computing and will present recent GPU hardware and software advances and how they address computational needs in both AI and HPC.  There will also be an update on the Deep Learning Institute (DLI) Teaching Kit, which NVIDIA has partnered with Professor Yann LeCun of New York University and Facebook AI Research. The kit covers the academic theory and application of deep learning on GPUs using the PyTorch and Torch frameworks and includes detailed lecture slides, hands-on labs/source code solutions, quiz/exam problem sets, and free access to online deep learning labs using GPUs in the cloud.

Tuesday July 11, 2017 2:00pm - 3:00pm CDT
Bolden 2