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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 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.
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HAE EDELLISIÄ EPISODEJA
Hae kanavan Computer Architecture Podcast vanhoja jaksoja.
MUITA jaksoja TÄSSÄ PODCASTISSA
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 …
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 stan…
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 R…
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. H…
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 Facult…
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