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 member at UC Davis and UC Santa Barbara. Fred has made significant contributions to architecture and system stack for quantum computing, and his other research interests include emerging technologies for computing, multicore and embedded architectures, computer security, and sustainable computing.
Ep 5: Datacenter Architectures and Cloud Microservices with Dr. Christina Delimitrou, Cornell University
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 received the 2020 IEEE TCCA Young Architect Award for leading research in ML-driven management and design of cloud systems. She talks to us about datacenter architectures, cloud microservices, and applying machine learning techniques to optimizing and managing these systems.
Ep 4: Cross-layer Optimizations and Impactful Collaborations with Dr. Mark D. Hill, University of Wisconsin-Madison / Microsoft
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.
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.
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.
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.