Dr. Bill Dally is the Chief Scientist and Senior Vice President of Research at Nvidia, and a Professor of Computer Science at Stanford University. Dr. Dally has had a storied career with contributions to parallel computer architectures, interconnection networks, GPUs, accelerators and more. He has a history of designing innovative and experimental computing systems such as the MARS accelerator, the MOSSIM simulation engine, the J-Machine and M-machine, to name a few. He talks to us about computing innovation in the post-Moore era, domain-specific accelerators, and technology transfer in computing.
Dr. Kim Hazelwood is the west coast head of engineering at Facebook AI Research (FAIR). Prior to Facebook, Kim has donned several hats from being a tenured professor at the University of Virginia, directory of systems research at Yahoo Labs, and a software engineer at Google. Today, she joins us to discuss systems for Machine Learning (ML), and share her insights on having an agile career.