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Computer Architecture Podcast

A show that brings you closer to the cutting edge in computer architecture and the remarkable people behind it. Hosted by Dr. Suvinay Subramanian , who is a computer architect at Google in the Systems Infrastructure group, working on designing Google’s machine learning accelerators (TPU), and Dr. Lisa Hsu who is semi-retired and works part-time in Reality Labs Research at Meta on optics and display technologies for AR.

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Ep 24: From Unicorns to Centaurs: Codesigning Computer Systems for the AI Era with Dr. Partha Ranganathan, Google

Dr. Partha Ranganathan is a VP and Technical Fellow at Google, where he serves as the area technical lead for hardware and datacenters. Partha is currently driving next-generation computing systems for the AI era, tackling the challenges of building, scaling and managing warehouse-scale computers, and the bleeding edge of hardware-software codesign. He has pioneered numerous impactful innovations…

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Ep 23: Cross-stack Design and Tooling for Large-scale Distributed AI Systems with Dr. Tushar Krishna, Georgia Tech

Dr. Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech, who holds a Ph.D. from MIT. Tushar’s work shapes how the computing community designs modern large-scale distributed AI systems--spanning specialized accelerators, memory hierarchies, and communication fabrics--and driving design-space exploration with pioneering tools like ASTRA-sim,…

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Ep 22: Measuring Datacenter Efficiency and Visioning the Future of Computer Architecture with Dr. Babak Falsafi, EPFL

Dr. Babak Falsafi is a Professor at EPFL, the founding president of the Swiss Data Center Efficiency Association, and the founder of EcoCloud, an academic consortium focused on sustainable IT. His contributions to computer architecture include the invention of spatial and temporal memory streaming (SMS prefetchers) found in ARM cores and laying the groundwork for fence speculation by defining…

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Ep 21: High-assurance Computer Architectures with Dr. Caroline Trippel, Stanford University

Dr. Caroline Trippel is an Assistant Professor in the Computer Science and Electrical Engineering Departments at Stanford University. Caroline's research operates at the critical intersection of hardware and software, focusing on developing high-assurance computer architectures. Her work tackles the challenge of ensuring that complex hardware designs are correct and secure. She has pioneered…

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Ep 20: The Tech Transfer Playbook – Bridging Research to Production with Dr. Ricardo Bianchini, Microsoft

Dr. Ricardo Bianchini is a Technical Fellow and Corporate Vice President at Microsoft Azure, where he leads the team responsible for managing Azure’s compute workload, server capacity, and datacenter infrastructure with a strong focus on efficiency and sustainability. Before joining Azure, Ricardo led the Systems Research Group and the Cloud Efficiency team at Microsoft Research (MSR). He created…

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Ep 19: Memory Management and Software Reliability with Dr. Arkaprava Basu, Indian Institute of Science

Dr. Arkaprava Basu is an Associate Professor at the Indian Institute of Science, where he mentors students in the Computer Systems Lab. Arka's research focuses on pushing the boundaries of memory management and software reliability for both CPUs and GPUs. His work spans diverse areas, from optimizing memory systems for chiplet-based GPUs to developing innovative techniques to eliminate…

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Ep 18: Codesign for Industrial Robotics and the Startup Pivot with Dr. Dan Sorin, Duke University

Dr. Dan Sorin is a Professor of Electrical and Computer Engineering at Duke University, and a co-founder of Realtime Robotics. Dan is widely known for his pioneering work in memory systems. He has co-authored the seminal Primer on Memory Consistency and Cache Coherence, which has become a foundational resource for students and researchers alike. Dan’s contributions span from developing resilient…

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Ep 17: Architecture 2.0 and AI for Computer Systems Design with Dr. Vijay Janapa Reddi, Harvard University

Dr. Vijay Janapa Reddi is an Associate Professor at Harvard University, and Vice President and Co-founder of MLCommons. He has made substantial contributions to mobile and edge computing systems, and played a key role in developing the MLPerf Benchmarks. Vijay has authored the machine learning systems book mlsysbook.ai , as part of his twin passions of education and outreach. He received the IEEE…

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Ep 16: Sustainability in a Post-AI World with Dr. Carole-Jean Wu, Meta

Dr. Carole-Jean Wu is a Director of AI Research at Meta. She is a founding member and a Vice President of MLCommons – a non-profit organization that aims to accelerate machine learning innovations for the benefits of all. Dr. Wu also serves on the MLCommons Board as a Director, chaired the MLPerf Recommendation Benchmark Advisory Board, and co-chaired for MLPerf Inference. Prior to Meta/Facebook,…

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Ep 15: The Hardware Startup Experience from Business Case to Software with Dr. Karu Sankaralingam, University of Wisconsin-Madison/Nvidia

Dr. Karu Sankaralingam is a Professor at the University of Wisconsin-Madison, an entrepeneur, inventor, as well as a Principal Research Scientist at NVIDIA. His work has been featured in industry forums of Mentor and Synopsys, and has been covered by the New York Times, Wired, and IEEE Spectrum. He founded the hardware startup SimpleMachines in 2017 which developed chip designs applying dataflow…

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