Computer Architecture Podcast

Latest Episodes:

Ep 4: Cross-layer Optimizations and Impactful Collaborations with Dr. Mark D. Hill, University of Wisconsin-Madison / Microsoft Mar 11, 2021

Show notes

Dr. Mark D. Hill is a professor emeritus of computer sciences at the University of Wisconsin Madison, and currently a Partner Hardware Architect with Microsoft Azure. He has made numerous contributions to parallel computer system design, memory system design, computer simulation, and more. He is well known for his advice and collaborative work style, having published papers with 160 different co-authors. He talks to us about cross-layer optimizations, impactful collaborations, and visioning for computer architecture research.

Ep 3: Privacy-preserving Covid Tracing and the Hardware-Software Stack with Dr. James Larus, EPFL Dec 23, 2020

Show notes

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.

Ep 2: Domain-specific Accelerators with Dr. Bill Dally, Nvidia Oct 20, 2020

Show notes

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 1: Systems for ML with Dr. Kim Hazelwood, Facebook May 28, 2020

Show notes

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.