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Boris Ginsburg is a principal engineer working on deep learning algorithms at NVIDIA, which he joined in 2015. For last five years, Boris has worked on distributed deep learning algorithms and hardware accelerators for deep learning. Before that, he worked on hardware accelerators for machine learning, computer vision, and speech recognition; CPU architecture; and wireless networking. He has 60 issued patents and 15 patents applications in the area of CPU, GPGPU, and wireless networking. Boris earned his a Ph.D. in applied math (non-smooth optimization) from Technion in 1997.

Boris Ginsburg is a principal engineer working on deep learning algorithms at NVIDIA, which he joined in 2015. For last five years, Boris has worked on distributed deep learning algorithms and hardware accelerators for deep learning. Before that, he worked on hardware accelerators for machine learning, computer vision, and speech recognition; CPU architecture; and wireless networking. He has 60 issued patents and 15 patents applications in the area of CPU, GPGPU, and wireless networking. Boris earned his a Ph.D. in applied math (non-smooth optimization) from Technion in 1997.

October 18, 2017, 4:30 pm - 5:30 pm

Mixed Precision Training of Deep Neural Network with Volta* - Hall I*