Today, on the eve of Exascale Day, the @HPCpodcast is delighted to have Kathy Yelick as our special guest to observe Oct. 18 (1018 – a billion billion calculations per second). Dr. Yelick is the Robert S. Pepper Distinguished Professor of Electrical Engineering and Computer Sciences and the Vice Chancellor for Research at UC Berkeley, and Senior Faculty Scientist at Lawrence Berkeley National Laboratory.
@HPCpodcast: UC Berkeley’s and LBNL’s Kathy Yelick on Exascale, the Future of Supercomputing, Partitioned Global Address Space and Diversity in HPC
October 17, 2022 by
Intel, NSF Name Winners of Wireless Machine Learning Research Funding
June 25, 2020 by
Intel and the National Science Foundation (NSF), joint funders of the Machine Learning for Wireless Networking Systems (MLWiNS) program, today announced recipients of awards for research projects into ultra-dense wireless systems that deliver the throughput, latency and reliability requirements of future applications – including distributed machine learning computations over wireless edge networks. Here are the […]
Bethany Goldblum from UC Berkeley to Receive James Corones Award
May 1, 2020 by
Bethany L. Goldblum, a nuclear scientist at the University of California, Berkeley, is the 2020 recipient of the Krell Institute’s James Corones Award in Leadership, Community Building and Communication. “Goldblum is a Department of Nuclear Engineering associate research engineer and executive director of the Nuclear Science and Security Consortium, a UC Berkeley-led collaboration of seven universities and five Department of Energy (DOE) national laboratories. The consortium, established with a $25 million grant from the DOE National Nuclear Security Administration (DOE NNSA), focuses on nuclear security and nonproliferation research and on training future nuclear experts. Goldblum was instrumental in the program’s renewal in 2016.”
Berkeley Engineers build World’s Fastest Optical Switch Arrays
April 12, 2019 by
Engineers at the University of California, Berkeley have built a new photonic switch that can control the direction of light passing through optical fibers faster and more efficiently than ever. This optical “traffic cop” could one day revolutionize how information travels through data centers and high-performance supercomputers that are used for artificial intelligence and other data-intensive applications.
Heroes of Deep Learning: Andrew Ng interviews Pieter Abbeel
August 25, 2017 by
In this video from the Heroes of Deep Learning series, Andrew Ng interviews Pieter Abbeel from UC Berkeley. “Work in Artificial Intelligence in the EECS department at Berkeley involves foundational research in core areas of knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech and language processing. There are also significant efforts aimed at applying algorithmic advances to applied problems in a range of areas, including bioinformatics, networking and systems, search and information retrieval.”
