Researchers Develop New Parallel Computing Method

CS postdoctoral fellow Jeff Regier (adviser: Michael Jordan) along with researchers from Julia Computing, Intel,  NERSC, LBNL, and JuliaLabs@MIT have developed a new parallel computing method to dramatically scale up the process of cataloging astronomical objects. This major improvement leverages 8,192 Intel Xeon processors in Berkeley Lab’s Cori supercomputer and Julia, the high-performance, open-source scientific computing language to deliver a 225x increase in the speed of astronomical image analysis.

The code used for this analysis is called Celeste.  “Astronomical surveys are the primary source of data about the Universe beyond our solar system,” said Jeff. “Through Bayesian statistics, Celeste combines what we already know about stars and galaxies from previous surveys and from physics theories, with what can be learned from new data. Its output is a highly accurate catalog of galaxies’ locations, shapes and colors. Such catalogs let astronomers test hypotheses about the origin of the Universe, as well as about the nature of dark matter and dark energy.”

More detail can be found in an article on HPC Wire "Researchers Develop New Parallel Computing Method."

RISC-V (Five) is Alive!

RISC-V, an open-source instruction set architecture created at UC Berkeley is featured in an electronic design article titled “RICS-V (Five) is Alive!” RISC (Reduced Instruction Set Computer) was originally designed in 1982 by students with the direction of Professors David Patterson and Carlo Sequin. Since then, iterations of RISC have been developed. In 2010 Prof. Krste Asanovic, with the help of Prof. Patterson, decided to develop another version of RISC to help both academic and industrial users and RISC-V was published.

Daniel Pok and Isabel Zhang on VR@Berkeley

EECS major Daniel Pok and CS major Isabel Zhang are featured in a Berkeley News article titled “Seeing is believing”. They are the co-founders of a student organization called VR@Berkeley. The club provides students access to virtual reality equipment and training and charters project teams to explore the applications and implications of virtual reality in diverse fields through research and development. The VR (virtual reality) club started with a handful of members in early 2015 and has grown to 200 members across campus who are working on a range of projects including an augmented 3-D virus model that pops off the page of a biology textbook and the use of virtual reality to play the Campanile’s carillon.

Ken Goldberg named Chair of IEOR

Effective January 1, 2017, Prof. Ken Goldberg will serve as Chair of the Department of Industrial Engineering & Operations Research (IEOR).  Ken is a professor of IEOR, with secondary appointments in EECS, Art Practice, the School of Information and Radiation Oncology at UCSF’s Medical School. Ken is Director of CITRIS’s People and Robots Initiative and UC Berkeley’s AUTOLAB, where he and his students pursue research in geometric algorithms and machine learning for robotics and automation in surgery, manufacturing and service applications.

Ruzena Bajcsy and Mike Stonebraker are among the "7 over 70"

A companion to Tech Review’s annual 35 Innovators Under 35 list features a list of seven innovators over 70. The new list includes EECS Professor Ruzena Bajcsy and professor emeritus Michael Stonebraker.  The 7 Over 70 list acknowledges innovators who are continuing to have sustained impacts in their field well after most of their colleagues have decided to retire.

Berkeley Blue team advances to World Finals

On Saturday, November 5, Berkeley hosted the 2016 Pacific Northwest Regional Programming Contest, part of the ACM International Collegiate Programming Contest.  In Division I, the Berkeley Blue team, comprising Keyhan Vakil, Evan Limanto, and Ruichao Chen, took second place, behind a team from the University of British Columbia (and ahead of the top Stanford team). In Division II, the Berkeley Ursi team, comprising Michael Luo, Larry Yang, and Eric Sheng, took first place.

The Berkeley Blue team now advances to the World Finals to be held in Rapid City, South Dakota in May 2017.

How Jason Wu helped lead the U.S. Syrian refugee surge

Alumnus Jason Wu (EECS B.S. 2008) is featured in a Webby Awards article titled "How a Small Troop of Techies Led the U.S. Syrian Refugee Surge," the story of the  humanitarian efforts of the United States Digital Service (the White House's tech "start-up") to successfully vet and bring in some 85,000 Syrian refugees in the midst of the crisis.   Jason joined the USDS in an effort to do something more meaningful after working as a product manager at Facebook's Silicon Valley headquarters.  He asked himself "If I were one more person at Uber, how much of an impact would I make?"

Coleman Fung Institute logo

Fung Institute for Engineering celebrates 5th year anniversary

The Coleman Fung Institute for Engineering celebrated its fifth year anniversary with reflections on how far the institute has grown. Launched in January of 2010, the institute is the hub connecting engineering disciplines with management, data, and social sciences, transforming engineers and scientists into leaders who can take risks and develop technical, social, and economic innovations.  The Fung Institute administers the Master of Engineering program.

prof. david wagner

David Wagner receives ACM SIGSAC 2016 Outstanding Innovation Award

Prof. David Wagner has won the ACM Special Interest Group on Security, Audit and Control (SIGSAC) 2016 Outstanding Innovation Award. This award is given for outstanding and innovative technical contributions to the field of computer and communication security that have had lasting impact in furthering or understanding the theory or development of secure systems. Prof. Wagner is recognized "For innovative research in systems security, software security, and cryptography that has inspired research in sandboxing, static analysis for security, and cryptanalysis."

bryan catanzaro

Bryan Catanzaro joins NVIDIA as Vice President of applied deep learning

EECS alumnus Bryan Catanzaro, Ph.D. ’11 (advisor Prof. Kurt Keutzer) has joined NVIDIA as the Vice President of applied deep learning research. He started off as an intern at NVIDIA while studying at UC Berkeley and was eventually hired as a research scientist working on programming models for parallel processors as well as libraries for deep learning. He then moved on to Baidu as a senior researcher creating next generation systems for training and deploying deep learning. He held that position until this recent appointment at NVIDIA.