PDL News


July 2021
PDL Researchers Win Best Paper at OSDI'21!

Congratulations to Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, and Eric P. Xing, on being awarded one of three Best Paper Awards at OSDI'21. The paper "Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning" discusses improved scheduling performance in deep learning (DL) clusters by adaptively co-optimizing inter-dependent factors both at the per-job level and at the cluster-wide level.

June 2021
PDL Alum, Ted Wong, Appears in Times Square!

We are pleased to share that PDL Alum, Ted Wong, is now a celebrity! Ted, whose company of employment, 23andMe, went public today had their employees appear on the big screen in Times Square! Ted says he is lucky to be at 23andMe and excited that he gets to work with a lot of talented and fun people.

June 2021
Christos Faloutsos promoted to University Professor

Congratulations to Christos, who has been elevated to the rank of University Professor, the highest distinction a faculty member can achieve at CMU.

June 2021
Huaicheng Li Recognized as Distinguished Reviewer

Congratulations to Huaicheng, who has been recognized as a Distinguised Reviewer for his service to Systor 2021, the 14th ACM International System and Storage Conference.

May 2021
CMU Research Forms Basis for Automatic Database Tuning Service: SCS Alums, Faculty Found OtterTune

A School of Computer Science grad student's (Dana Van Aken) dissertation has been transformed into a service aimed at improving the databases that power popular websites. OtterTune, a play on the once ubiquitous Auto-Tune, uses machine learning to automatically optimize databases, improving performance and efficiency and potentially saving companies time and money. Users could see faster loading times and improved services with a database humming along in the background.

"There are hundreds of settings to consider when optimizing a database, too many for humans to properly tune," said Dana Van Aken, one of the company's co-founders. "OtterTune takes human trial and error out of the mix."

The company is based on Van Aken's dissertation. She founded the company with her advisor, Andy Pavlo, an associate professor in the Computer Science Department; and Bohan Zhang, who earned his master of computational data science from CMU and worked with Van Aken and Pavlo as a research assistant.

The company announced a commercial version of its service Wednesday and $2.5 million in seed funding, led by venture capital firm Accel. OtterTune is based in Pittsburgh and full of Carnegie Mellon talent. Seven of its 12 employees are either CMU faculty or alumni.

"Database management systems now exceed the administrator's ability to optimize them," said Pavlo, the CEO of OtterTune. "We've put years of research into solving this problem, which we know will lead to significant increases in efficiencies and cost savings for customers."

Don't let the company's playful name or DJing otters wearing headphones fool you. It is serious about tuning a database for optimal performance. In case studies, the OtterTune improved efficiency by 33% to 50%, cut one company's costs in half, and saved another tens of thousands of dollars. "It turns out, otters are actually vicious animals," Pavlo said.
-- Aaron Aupperlee, CMU SCS News Wednesday, May 12, 2021

April 2021
Huanchen Zhang Wins Jim Gray Dissertation Award!

Congratulations to Huanchen Zhang, who has been awarded this year’s ACM SIGMOD Jim Gray Dissertation Award. The award recognizes excellent research by doctoral candidates in the database field. Huanchen's dissertation studied “Memory-Efficient Search Trees for Database Management Systems” and addressed the challenge of building compact yet fast in-memory search trees to allow more efficient use of memory in data processing systems.

Since graduation Huanchen has spent time at Snowflake as a Postdoctoral Research Fellow and has now joined Tsinghua University as an Assistant Professor. While at CMU, Huanchen was advised by David Andersen and Andy Pavlo.

April 2021
Nathan Beckmann Awarded Google Research Scholar Grant

Nathan Beckmann, CSD and ECE has received a grant through Google's inaugural Research Scholar Program, which will support his research on "Making Data Access Faster and Cheaper with Smarter Flash Caches". The Research Scholar Program aims to support early-career professors who are pursuing research in fields relevant to Google.
-- info from SCS Wednesday Wire and research.google/

April 2021
Juncheng Yang and Rashmi Vinayak Receive NDSI Community Award

Congratulations to Juncheng and Rashmi, who received theNSDI 2021 Community Award for their paper "Segcache: A Memory-efficient and Scalable In-memory Key-value Cache for Small Objects." The conference, held virtually this year, presents the award for the best paper whose code and/or data set is made publicly available by the final papers deadline. In collaboration with Twitter, Juncheng and Rashmi building the next generation in-memory caching systems. Segcache enables high memory efficiency, high throughput, and excellent scalability, and demonstrates several important optimization techniques for large-scale web services.

March 2021
Sara McAllister wins 5-year graduate fellowship

Congratulations to Sara, as she receives a 5-year graduate fellowship under the NSF Graduate Research Fellowship Program. The NSF GRFP recognizes and supports outstanding graduate students in NSF-supported STEM disciplines who are pursuing research-based master’s and doctoral degrees at accredited US institutions. The five-year fellowship includes three years of financial support including an annual stipend and a cost of education allowance. Sara will be pursuing her Ph.D. in Computer Science in the field of Computer Systems and Embedded Systems.
-- with info from nsfgrfp.org


December 2020
Lorrie Cranor named AAAS Fellow

Lorrie Cranor, the director of CyLab and a professor in the Institute for Software Research and the department of Engineering and Public Policy, has been named a Fellow of the American Association for the Advancement of Science (AAAS). As part of the section on information, computing, and communication, Cranor was elected as an AAAS Fellow for her contributions to usable privacy and security research, policy, and education.

Election as an AAAS Fellow is an honor bestowed upon AAAS members by their peers and has been a tradition since 1874.
-- info from engineering.cmu.edu/news by Daniel Tkacik

More PDL News here.