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.
Ep 15: The Hardware Startup Experience from Business Case to Software with Dr. Karu Sankaralingam
Ep 14: System Design for Exascale Computing and Advanced Memory Technologies with Dr. Gabriel Loh, AMD
Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT
Ep 12: 50th Anniversary of SIGARCH Special Episode with Dr. David Patterson, Dr. Norm Jouppi and Dr. Natalie Enright-Jerger
Ep 11: Future of AI Computing and How to Build & Nurture Hardware Teams with Jim Keller, Tenstorrent
Ep 10: Physically-constrained Computing Systems with Dr. Brandon Lucia, Carnegie Mellon University
Ep 9: Hyperscale Cloud and Agile Hardware Design in China with Dr. Yungang Bao, Institute of Computing Technology
Ep 8: Durable Security and Privacy-enhanced Computing with Dr. Todd Austin, University of Michigan
Ep 7: Domain-specific Systems for AR/VR and Extended Reality with Dr. Sarita Adve, University of Illinois at Urbana-Champaign
Ep 6: Quantum Computing Architectures with Dr. Fred Chong, University of Chicago
Ep 5: Datacenter Architectures and Cloud Microservices with Dr. Christina Delimitrou, Cornell University
Ep 4: Cross-layer Optimizations and Impactful Collaborations with Dr. Mark D. Hill, University of Wisconsin-Madison / Microsoft
Ep 3: Privacy-preserving Covid Tracing and the Hardware-Software Stack with Dr. James Larus, EPFL
Ep 1: Systems for ML with Dr. Kim Hazelwood, Facebook
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