3 episodes

A show that brings you closer to the cutting edge in computer architecture and the remarkable people behind it.

Computer Architecture Podcas‪t‬ comparchpodcast

    • Technology

A show that brings you closer to the cutting edge in computer architecture and the remarkable people behind it.

    Ep 3: Privacy-preserving Covid Tracing and the Hardware-Software Stack with Dr. James Larus, EPFL

    Ep 3: Privacy-preserving Covid Tracing and the Hardware-Software Stack with Dr. James Larus, EPFL

    Dr. James Larus is Professor and Dean of the School of Computer and Communication Sciences at EPFL. Prof. Larus has made contributions to several fields spanning programming languages, compilers, computer architecture, and computer systems. He co-led the Wisconsin Wind Tunnel project, started the Singularity project at Microsoft Research (MSR), created Orleans framework for cloud programming as director of the Extreme Computing Group at MSR. He talks to us about privacy-by-design, the associated challenges across the hardware-software stack, and the implications on the design of digital contact-tracing protocols (DP-3T) during the Covid-19 pandemic.

    • 54 min
    Ep 2: Domain-specific Accelerators with Dr. Bill Dally, Nvidia

    Ep 2: Domain-specific Accelerators with Dr. Bill Dally, Nvidia

    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.

    • 54 min
    Ep 1: Systems for ML with Dr. Kim Hazelwood, Facebook

    Ep 1: Systems for ML with Dr. Kim Hazelwood, Facebook

    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.

    • 1 hr 2 min

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