Meet Ray, the Real-Time Machine-Learning Replacement for Spark

CS Prof. Michael Jordan, graduate students Philipp Moritz and Robert Nishihara, and research in the RISELab are featured in a Datanami article titled "Meet Ray, the Real-Time Machine-Learning Replacement for Spark."  Ray is one of the first technologies to emerge from RISELab, the successor to AMPLab and its host of influential distributed technologies including Spark, Mesos, and Tachyon. Ray is a new distributed framework designed to enable Python-based machine learning and deep learning workloads to execute in real-time with MPI-like power and granularity. This framework is ostensibly a replacement for Spark, which is seen as too slow for some real-world AI applications.

BiasBusters at the Community Grants Showcase

BiasBusters @ Cal EECS will make a presentation at this year's Community Grants Showcase:  Changing Social Norms on April 19, 2017.  BiasBusters @ Cal EECS focuses on engaging EECS faculty, staff, and students to shift culture and increase the inclusion of women and underrepresented minorities in our community.   The program, modeled on Google’s Bias Busting @ Work program, was initiated by Director of Diversity and Achievement Tiffany Reardon and is organized by graduate students Vasuki Swamy and Regina Eckert.  Regular workshops are led by volunteers in the EECS community who have been trained as program facilitators in an effort to promote self-awareness about unconscious bias and teach how to address it in our department and daily lives.  The grant was sponsored by the PATH to Care Center with support from the Violence Prevention Collaborative.

The Beauty & Joy of Computing featured in the New York Times

Dr. Daniel Garcia and his course "CS10: The Beauty and Joy of Computing" (BJC) are featured in a New York Times article about curricula designed to develop computational thinking in students.  The article, titled "Learning to Think Like a Computer," covers strategies at a number of top institutions and highlights BJC, a CS course for nonmajors which focuses on the abstract principles underpinning computing instead of just teaching students to code.  “The idea of abstraction,” Dan says, “is to hide the details.”  Concealing layers of information makes it possible to get at the intersections of things, improving aspects of a complicated system without understanding and grappling with each part.  The abstraction of computational thinking allows advances without having to redesign from scratch and offers a new language and orientation to tackle problems in many other areas of life.

Paper authored by EECS alumni receives 2017 NSDI Test-of-Time Award.

The paper “X-Trace: A Pervasive Network Tracing Framework”, authored by EECS alumi Rodrigo Fonseca (Ph.D. ’08) and George Porter (Ph.D. ’08) and Professors Randy Katz, Scott Shenker, and Ion Stoica, has received the 2017 Networked Systems Design and Implementation (NSDI) Test-of-Time Award. X-Trace was not the first tracing framework, but it was influential given that it was effectively the first framework for end-to-end tracing to focus on generality and pervasiveness. The researchers implemented X-Trace in protocols and software systems, and in their prize-winning paper, they set out to explain three different use scenarios: domain name system (DNS) resolution; a three-tiered photo-hosting website; and a service accessed through an overlay network.

Charles Bordenave awarded the Prix Marc Yor by the SMAI, France

Charles Bordenave, an EECS/Statistics postdoc (Sept. 06-07) has been awarded thePrix Marc Yor by the Société de Mathématiques Appliquées et Industrielles (SMAI) of France. Charles Bordenave was an EECS/Statistics postdoc co-supervised by Prof. Venkatachalam Anantharam (EECS) and Prof. David Aldous (Statistics) and is currently with the French National Center for Scientific Research, the largest governmental research organization in France. This award is given to people under the age of 40 who have practiced in France for at least 5 years. Bordenave is recognized for his works of great scope, creative and stimulating, whose contributions to the theories of random graphs and large random matrices are brilliant and profoundly original.

Radhika Mittal and Sam Chiu-Wai Wong win 2017 Google PhD Fellowships

Graduate students Radhika Mittal (advisors: Sylvia Ratnasamy and Scott Shenker) and Sam Chiu-Wai Wong (advisor: Christos Papadimitriou) have won 2017 Google PhD Fellowships. This is one of the highest honors available for Computer Science graduate students.  Each selected university is permitted to nominate two students and Google awards approximately 15 named fellowships per year.  Radhika, whose area is Computer Networking, was awarded a Microsoft Research Graduate Women’s Scholarship in 2013.  Sam, who is interested in the area of Algorithms and Complexity, won Best Paper at the IEEE FOCS Symposium in 2015 and has been awarded an IBM Scholarship.

Valerie Taylor named Director of Argonne National Lab’s Math & CS Division

Alumna Valerie Taylor (EE M.S. '86/Ph.D. '91) has been appointed the next director of the Mathematics and Computer Science (MCS) division at the U.S. Department of Energy’s (DOE) Argonne National Laboratory.  Taylor has received numerous awards for distinguished research and leadership and authored or co-authored more than 100 papers in the area of high performance computing, with a focus on performance analysis and modeling of parallel scientific applications.  Argonne’s MCS Division produces next-generation technologies and software to tackle the challenges of big data generated by high-performance computing and large, experimental facilities.

Tsu-Jae King Liu talks chip efficiency on Moore's Law Panel

EE Prof. Tsu-Jae King Liu, who participated in a semiconductor "Moore's Law" panel discussion at the South by Southwest festival in Texas, is featured in an Electronic Design article  titled "Forget Scaling. Moore's Law Panel Talks Power Consumption."  Tsu-Jae, who helped pioneer the Finfet transistor in 1998, describes some of the ways that transistors and integrated circuits will be evolving and how they might be used in future innovations.

Matthias Vallentin and Vern Paxson take a “VAST” Step Forward in Cyber Security

Postdoctoral researcher Matthias Vallentin is developing VAST,  a  forensic analysis tool  designed to help prioritize the investigation of computer security breaches.  It complements Bro, a security tool  devised by Prof. Vern Paxson when he was a graduate student 22 years ago and which is now used worldwide, to instantly collect huge volumes of log data that a hack might compromise.  “Maybe the external machine also appeared in a phishing email, which contained a PDF attachment. Not only that, but the PDF also includes a malicious payload, which upon opening, sends sensitive information from the employee’s computer to a cyber criminal.  VAST supports this iterative process to reconstruct the complete picture and presents it on a platter” explains Vallentin.  The function, development, and industrial potential of these tools are discussed in a Berkeley Research article.

Baiyu Chen awarded top prize at Infrastructure Vision 2050 Challenge

CS graduate student Baiyu Chen (advisor: Alexei Efros) and Anthony Barrs were awarded top prize and $50,000 for their design at the Infrastructure Vision 2050 Challenge.  Their idea, profiled in an article for Fortune, was to construct a "Hyperlane," or a single platform the size of four interstate lanes that would run parallel to pre-existing highways in order for self-driving cars to travel at high speeds with no chance of getting into a jam.