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 a Principal Engineer at Microsoft in the Azure Compute group, working on strategic initiatives for datacenter deployment.
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Welcome to Crashcasts, the podcast for tech enthusiasts! Whether you're a seasoned engineer or just starting out, this podcast will teach something to you about Computer Architecture . Join host Sheila and Victor as they dive deep into essential topics. Each episode is presented with gradually increasing in complexity to cover everything from basic concepts to advanced edge cases. Whether you're preparing for a phone screen or brushing up on your skills, this podcast offers invaluable insigh ...
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Ep 18: Codesign for Industrial Robotics and the Startup Pivot with Dr. Dan Sorin, Duke University
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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. Da…
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Ep 17: Architecture 2.0 and AI for Computer Systems Design with Dr. Vijay Janapa Reddi, Harvard University
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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…
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Supercharging Computing: Understanding SIMD (Single Instruction, Multiple Data)
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Dive into the world of parallel computing with SIMD (Single Instruction, Multiple Data) and discover how it's revolutionizing processing speed in modern computers. In this episode, we explore: The evolution of SIMD: From vector supercomputers to your desktop SIMD in action: How a single instruction processes multiple data points simultaneously Real…
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Exploring Cache Coherence: Its Critical Role in Multi-Core System Performance
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Dive into the complex world of cache coherence and its critical role in multi-core system performance with host Sheila and expert Victor. In this episode, we explore: The fundamentals of cache coherence and why it's crucial in multi-core systems Cache coherence protocols like MSI, MESI, and MOESI, and how they maintain consistency Real-world implem…
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Ep 16: Sustainability in a Post-AI World with Dr. Carole-Jean Wu, Meta
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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-chai…
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Ep 15: The Hardware Startup Experience from Business Case to Software with Dr. Karu Sankaralingam, University of Wisconsin-Madison/Nvidia
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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 201…
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Ep 14: System Design for Exascale Computing and Advanced Memory Technologies with Dr. Gabriel Loh, AMD
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Dr. Gabriel Loh is a Senior Fellow at AMD Research and Advanced Development. Gabe is known for his contributions to 3D die-stacked architectures, memory organization and caching techniques, and chiplet multicore architectures. His ideas have influenced multiple commercial products and industry standards. He is a recipient of ACM SIGARCH's Maurice W…
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Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT
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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 fro…
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Ep 12: 50th Anniversary of SIGARCH Special Episode with Dr. David Patterson, Dr. Norm Jouppi and Dr. Natalie Enright-Jerger
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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 pers…
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Ep 11: Future of AI Computing and How to Build & Nurture Hardware Teams with Jim Keller, Tenstorrent
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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…
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Ep 10: Physically-constrained Computing Systems with Dr. Brandon Lucia, Carnegie Mellon University
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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 …
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Ep 9: Hyperscale Cloud and Agile Hardware Design in China with Dr. Yungang Bao, Institute of Computing Technology
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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 me…
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Ep 8: Durable Security and Privacy-enhanced Computing with Dr. Todd Austin, University of Michigan
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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 Micr…
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Ep 7: Domain-specific Systems for AR/VR and Extended Reality with Dr. Sarita Adve, University of Illinois at Urbana-Champaign
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Dr. Sarita Adve is the Richard T. Cheng Professor of Computer Science at the University of Illinois at Urbana-Champaign. Her research interests span the system stack, including hardware, programming languages, operating systems, and applications. She co-developed the memory consistency models for the C++ and Java programming languages, based on her…
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Ep 6: Quantum Computing Architectures with Dr. Fred Chong, University of Chicago
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Dr. Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago, and the chief scientist of SuperTech, a quantum software startup. He is also Lead Principal Investigator for the EPiQC Project, an NSF Expedition in Computing. Previously, Fred received his Ph.D. from MIT in 1996 and was a faculty mem…
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Ep 5: Datacenter Architectures and Cloud Microservices with Dr. Christina Delimitrou, Cornell University
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Dr. Christina Delimitrou is an assistant professor in the Electrical and Computer Engineering Department at Cornell University. Prof. Delimitrou has made significant contributions to improving resource efficiency of large-scale datacenters, QoS-aware scheduling and resource management techniques, performance debugging, and cloud security. She recei…
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Ep 4: Cross-layer Optimizations and Impactful Collaborations with Dr. Mark D. Hill, University of Wisconsin-Madison / Microsoft
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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 styl…
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Ep 3: Privacy-preserving Covid Tracing and the Hardware-Software Stack with Dr. James Larus, EPFL
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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), cre…
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Ep 2: Domain-specific Accelerators with Dr. Bill Dally, Nvidia
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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 …
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Ep 1: Systems for ML with Dr. Kim Hazelwood, Facebook
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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 sha…
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