13 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
    • 4.8 • 17 Ratings

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

    Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT

    Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT

    Dr. Vivienne Sze is an associate professor in the EECS department at MIT. Vivienne is recognized for her leading work on energy-efficient computing systems spanning a wide range of domains: from video compression, to machine learning, robotics and digital health. She received the DARPA Young Faculty Award, Edgerton Faculty Award, faculty grants from Google, Facebook and Qualcomm, and a Primetime Engineering Emmy as a member of the team that developed the High-Efficiency Video Coding standard.

    • 58 min
    Ep 12: 50th Anniversary of SIGARCH Special Episode with Dr. David Patterson, Dr. Norm Jouppi and Dr. Natalie Enright-Jerger

    Ep 12: 50th Anniversary of SIGARCH Special Episode with Dr. David Patterson, Dr. Norm Jouppi and Dr. Natalie Enright-Jerger

    This is a special episode to commemorate the 50th anniversary of SIGARCH. We have three leaders from our community who have served as SIGARCH chairs -- Dr. David Patterson, Dr. Norm Jouppi and Dr. Natalie Entright-Jerger -- reflect on the evolution of the computer architecture field as well as our community over half a century, and share their perspectives on opportunities and exciting times ahead.
    David Patterson is a professor emeritus at ​​UC Berkeley, a distinguished engineer at Google, and recipient of the Turing Award. Norm Jouppi, a VP and Engineering Fellow at Google, where he is the chief architect for Google's Tensor Processing Units (TPUs), and a recipient of the Eckert-Mauchly award. Natalie Enright-Jerger is a professor at the University of Toronto, where she is the Canada Research Chair in Computer Architecture, and is a recipient of the Alfred P. Sloan Research Fellowship, and distinguished member of ACM and IEEE.

    • 1 hr 2 min
    Ep 11: Future of AI Computing and How to Build & Nurture Hardware Teams with Jim Keller, Tenstorrent

    Ep 11: Future of AI Computing and How to Build & Nurture Hardware Teams with Jim Keller, Tenstorrent

    Jim Keller is the CTO of Tenstorrent, and a veteran computer architect. Prior to Tenstorrent, he has held roles of Senior Vice President at Intel, Vice President of Autopilot at Tesla, Vice President and Chief Architect at AMD, and at PA Semi which was acquired by Apple. Jim has led multiple successful silicon designs over the decades, from the DEC Alpha processors, to AMD K7/K8/K12, HyperTransport and the AMD Zen family, the Apple A4/A5 processors, and Telsa's self-driving car chip.

    • 1 hr 22 min
    Ep 10: Physically-constrained Computing Systems with Dr. Brandon Lucia, Carnegie Mellon University

    Ep 10: Physically-constrained Computing Systems with Dr. Brandon Lucia, Carnegie Mellon University

    Dr. Brandon Lucia is a professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. Prof. Lucia has made significant contributions to enabling capable and reliable intermittent computing systems, developing techniques that span the hardware-software stack from novel microarchitectures, to programming models and tools. He is a recipient of the IEEE TCCA Young Computer Architect Award, the Sloan Research Fellowship, and several best paper awards.

    • 1 hr 6 min
    Ep 9: Hyperscale Cloud and Agile Hardware Design in China with Dr. Yungang Bao, Institute of Computing Technology

    Ep 9: Hyperscale Cloud and Agile Hardware Design in China with Dr. Yungang Bao, Institute of Computing Technology

    Dr. Yungang Bao is a professor at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) and the deputy director of ICT-CAS. Prof. Bao founded the China RISC-V Alliance (CRVA) and serves as the secretary-general of CRVA. His research interests include open-source hardware and agile chip design, datacenter architecture and memory systems. Prof. Bao’s contributions include developing the PARSEC 3.0 benchmark suite which has been adopted by leading industry players in China (like Alibaba and Huawei), the labeled von Neumann paradigm to enable a software-defined cloud, Hybrid Memory Trace Tool (HMTT), and Partition-Based DMA Cache. He was awarded the CCF-Intel Young Faculty Award, was the winner of CCF-IEEE CS Young Computer Scientist Award, and received China’s National Honor for Youth under 40.

    • 52 min
    Ep 8: Durable Security and Privacy-enhanced Computing with Dr. Todd Austin, University of Michigan

    Ep 8: Durable Security and Privacy-enhanced Computing with Dr. Todd Austin, University of Michigan

    Dr. Todd Austin is a Professor of Electrical Engineering and Computer Science at the University of Michigan in Ann Arbor. His research interests include robust and secure system design, hardware and software verification, and performance analysis tools and techniques. Todd has donned multiple hats, being a senior processor architect at Intel’s Microprocessor Research Labs, a professor at the University of Michigan, serving as the director of research centers like C-FAR, and more recently serving as the CEO and co-founder of the startup Agita Labs. He is also an IEEE Fellow and received the ACM Maurice Wilkes Award for his work on SimpleScalar, and the DIVA and Razor architectures.

    • 1 hr

Customer Reviews

4.8 out of 5
17 Ratings

17 Ratings

Shotae' ,

Industrial constrained academic discussion

This is a great podcast! The hosts lead the discussion well, asking questions that enable the guest to share insightful perspectives. I highly recommend to new grads/academics interested in the current problems being faced in industry concerning computer architecture.

hhhehhuuuuueu ,

Please fix the audio

Some speakers seem to be recording over a web conference or something; it’s very difficult to hear what’s being said when I’m listening over moderate background noise (fans, dishwasher, etc.). Looking forward to hearing these interesting discussions more clearly in the future.

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