From the RISELab/Berkeley Deep Drive joint mini retreat
August 1, 2017

Welcome to our Summer 2017 Newsletter, where we would like to keep you informed about our recent progress.

With student internships, faculty travel and keynotes, new students still arriving and graduating students and finishing postdocs moving on, RISELab is a little quieter in the summer than during the academic year. Even though we are less than a year into this project, we have been making a lot of progress. We recently announced Clipper v0.1, Ray 0.1, and Ground v0.1; we are involved with the 5G Innovators Initiative; and we also had a mini-retreat to explore emerging AI applications, including Reinforcement Learning, with Berkeley DeepDrive (BDD). Congratulations also are due to Wenting Zheng and Shivaram Venkataraman for their recent awards. These and other recent news and events are described below.

Finally, mark your calendars for an upcoming event of interest: RISECamp, a bootcamp organized by the UC Berkeley RISELab where you can get exposure to research and hands-on experience with our systems and technologies, will take place on September 7 - 8, 2017.

Thank you for your continued support.

Professor Michael Mahoney  
RISELab Faculty  

Krste Asanovic:
Cambridge Computer Lab Weekly Seminar, May 31, 2017, Cambridge, England

SORS: RISC-V: Instruction sets want to be free, June 7, 2017, Barcelona, Spain

Joseph M. Hellerstein:  
UC Santa Cruz Computer Science Department Distinguished Lecture Series, June 5, 2017, Santa Cruz, CA

Michael I. Jordan:  
Challis Lectures, Department of Statistics, University of Florida, March 28 - 29 2017, 
Gainesville, Fl

Featured Speaker, Royal Statistical Society Webinar, April 26, 2017

Milne Lectures, Department of Mathematics, Oregon State University, May 16, 2017, Corvallis, OR

Keynote Speaker, ACM Sigmetrics 2017, June 7, 2017, Urbana-Champaign, IL

Keynote Speaker, Tencent Annual Meeting on Science and Technology, June 19, 2017, Shenzhen, China 

Keynote Speaker, Annual Meeting of the Classification Society, June 22, 2017 , San Jose, CA

Michael Mahoney:   
First International Conference on the Theoretical Foundation of the Data Science , July 3rd 2017, Beijing, PRC

Dave Patterson:
Invited talk at National Academy of Engineering Regional Meeting & Symposium , April 5, 2017, Computer History Museum, Mountain View, CA

Dawn Song:

ShanghaiTech Symposium on Information Science and Technology 2017, July 2 - 4, 2017, Shanghai, PRC

Ion Stoica:
KTH Cyber Day, May 15, 2017, Kista, Sweden

AWS Public Sector Summit, June 2017, Washington, DC  
ZipG: A Memory-efficient Graph Store for Interactive Queries
Breaking Locality Accelerates Block Gauss-Seidel
Authors: Shivaram Venkataraman, Stephen Tu, Ashia C. Wilson, Alex Gittens, Michael Jordan, Benjamin Recht
Presented At/In: International Conference on Machine Learning (ICML 2017)
Published On: June 22, 2017

Return of the Runtimes: Rethinking the Language Runtime System for the Cloud 3.0 Era
Authors: Martin Maas, Krste Asanovic, John Kubiatowicz
Presented At/In: 16th Workshop on Hot Topics in Operating Systems (HotOS '17)
Published On: May 9, 2017

Occupy the Cloud: Distributed Computing for the 99%
Authors: Eric Jonas, Qifan Pu, Shivaram Venkataraman, Ion Stoica, Benjamin Recht
Presented At/In: ACM Symposium on Cloud Computing (SoCC) 2017
Published On: September 25, 2017

Automating Diagnosis of Cellular Radio Access Network Problems
Authors: Anand Padmanabha Iyer, Li Erran Li, Ion Stoica
Presented At/In: 23rd ACM Annual International Conference on Mobile Computing and Networking (MobiCom 2017)
Published On: October 16, 2017

Data Tweening: Incremental Visualization of Data Transforms
Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach
Authors: Neeraja Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Burton Smith, Randy Katz
Presented At/In: ACM Symposium on Cloud Computing 2017 (SoCC '17)
Published On: September 25, 2017

Learning certifiably optimal rule lists for categorical data
Authors: Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo Seltzer, Cynthia Rudin
Presented At/In: 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '17)
Published On: August 15, 2017

A Scalable Distributed Spatial Index for the Internet-of-Things
Authors: Anand Padmanabha Iyer, Ion Stoica

Capacity Releasing Diffusion for Speed and Locality
Author(s): Kimon Fountoulakis, Monika Henzinger, Michael W. Mahoney, Satish Rao
Presented At/In: Proceedings of the 34th International Conference on Machine Learning (ICML '17)
Published On: July 28, 2017

RISECamp - September 7-8, 2017
Mark your calendars!  RISE Camp is a bootcamp organized by the UC Berkeley RISELab where you can get exposure to research and hands-on experience with systems and technologies for emerging AI applications including reinforcement learning, prediction serving, agile ML development, context management, and AI security. For more information, please check the event web site.
RISELab at UC Berkeley

Questions? Please email:
or check our website