PETER BAILIS
All News
New workshop on MacroBase SQL extensions now available -- feedback welcome!
1/23/2018
Four short papers to appear at SysML 2018!
1/16/2018
SysML 2018 (February 15-16th at Stanford) sold out in 3 minutes!
1/12/2018
Post on Cuckoo Hashing and learned indexes on the DAWN blog.
1/11/2018
Wrapped up CS145 -- course materials available online.
12/15/2017
New MacroBase website and logo now online.
12/10/2017
Talks on DAWNBench and MacroBase at ML Systems workshop.
12/8/2017
Google joins DAWN as a founding member -- welcome and thank you for your support!
12/6/2017
Paper on DAWNBench to appear at NIPS ML Systems workshop in December.
11/9/2017
New pre-print with Kai Sheng Tai, Vatsal Sharan, and Greg Valiant on finding heavily-weighted features in data streams using sketches.
11/7/2017
Poster on DAWNBench deep learning benchmarking efforts appeared at SOSP AISys workshop in Shanghai!
10/28/2017
Talk on DAWN and MacroBase at Teradata Partners 2017 in Anaheim.
10/25/2017
Over 350 students enrolled in our Intro DB (CS145) course at Stanford!
9/26/2017
Many thanks to the Okawa Foundation for awarding the 2017 Okawa Research grant!
9/20/2017
A great kickoff for the DAWN project, and exciting updates to the project site -- over 24 papers this year to date, spanning visualization and ML to new hardware accelerators! Many thanks to our generous founding members for their continued support.
9/12/2017
Posted NoScope slides from VLDB 2017.
8/30/2017
New blog post on learning sparse models with random projections and compressive sensing.
8/29/2017
New results with collaborators in seismology arising from our ongoing project on efficient similarity search in time series (SCEC poster).
8/15/2017
New blog post on automatic time series smoothing with ASAP (VLDB 2017).
8/7/2017
NoScope repo updated with tutorial and docs!
8/3/2017
New arXiv preprint on DROP: Dimensionality Reduction OPtimization via PCA and progressive sampling
8/1/2017
MacroBase: Prioritizing Attention in Fast Data received a "Best of SIGMOD 2017" citation! Thanks, Dan and SIGMOD PC!
7/14/2017
NoScope (optimizing CNN-based video analytics via specialization) accepted to VLDB 2017!
7/3/2017
Thanks to NetApp for awarding a NetApp Faculty Fellowship to support our work on prioritizing attention in fast data streams!
6/28/2017
New work with Vatsal Sharan, Kai Sheng Tai, and Greg Valiant on learning sparse models by exploiting sparsity now on arXiv!
6/25/2017
New blog post on accelerating neural network inference over video with NoScope
6/22/2017
ASAP -- automatic smoothing for time-series visualization -- accepted to VLDB 2017. See you in Munich!
6/15/2017
Kexin's Monitorama 2017 talk on time series smoothing is now online!
6/10/2017
New arXiv pre-print on speeding up matrix factorization serving by up to 6x: should you build an index or just call BLAS? SimDex can answer.
6/5/2017
Three PhD students join Future Data Systems! Welcome Cody Coleman, Daniel Kang, and Kai Sheng Tai.
6/3/2017
DAWN project whitepaper on systems for usable ML now available on arXiv.
5/23/2017
Slides and video for Edward's SIGMOD 2017 talk on fast Kernel Density Classification now online.
5/17/2017
Thanks to the ACM for awarding an honorable mention for the ACM Doctoral Dissertation Award! This is a real honor.
5/17/2017
Slides for Todd's ACIDRain talk at SIGMOD 2017 posted!
5/16/2017
Tickled to learn that Microsoft Azure CosmosDB provides consistency predictions using Probabilistically Bounded Staleness! Thanks to Andy Pavlo for the tip.
5/16/2017
Big week at SIGMOD 2017: three paper talks (MacroBase, tKDE, ACIDRain), a New Researcher Symposium talk/rant, and a Jim Gray Dissertation Award talk.
5/15/2017
Two talks accepted to Strata NYC: Sahaana on MacroBase (9/28) and Daniel on NoScope 9/26. See you in Manhattan!
5/3/2017
Headed to the Asilomar Microcomputer Workshop in Monterey? Catch Kexin Rong's talk on MacroBase on Thursday. Thanks to our friends at Intel for organizing this session on "Highway to (Robot Car) Hell".
4/15/2017
Thanks to ACM SIGMOD for awarding the 2017 Jim Gray Doctoral Dissertation Award; extremely grateful for wonderful collaborators and mentors.
4/13/2017
DAWN Project site online!
3/11/2017
Three papers to appear at SIGMOD 2017: i) MacroBase architecture, ii) accelerated classification based on Kernel Density Estimation, iii) security vulnerabilities in transactional web applications!
3/9/2017
New preprint on optimizing CNN evaluation over video streams with students and Matei Zaharia—3200x YOLO evaluation (8500x real time)!
3/7/2017
ASAP demo and preprint posted!
3/6/2017
MacroBase demo to appear at SIGMOD 2017!
2/26/2017
Kexin is headed to Monitorama 2017 to talk about streaming time-series visualization
2/12/2017
Hitachi visiting scholar Masahito Togami joins Future Data for the year!
1/10/2017
Prioritizing Attention in Fast Data: Principles and Promise, CIDR 2017, now available!
12/12/2016
Thanks to Keysight Technologies for supporting our research through the Stanford SystemX Alliance!
11/22/2016
Continued progress on an absolute ton of research in the pipeline. Many submissions in the works; please feel free to ping.
10/16/2016
Our paper on challenges and opportunities in prioritizing attention in fast data streams will appear at CIDR 2017 in January. See you in Santa Cruz!
10/11/2016
Thanks to Facebook for beginning to support our research in the Future Data Systems group!
10/6/2016
The third installment of Research for Practice is now online at ACM Queue!
10/4/2016
Our paper on MacroBase's core architecture will appear at SIGMOD 2017! Congratulations to the students on a first-round acceptance without revisions.
9/27/2016
Welcome to our fall quarter rotators! Exciting new projects on speeding up video classification and unsupervised anomaly detection in fast data streams.
9/26/2016
New post on MacroBase on the MIT ISTC Big Data blog.
9/16/2016
Honored to receive an inaugural Faculty Research Award from VISA! Thank you for supporting our research on MacroBase.
9/9/2016
Tentative schedule for CS345S: Data-Intensive Systems for the Next 1000x (1000x.io) (August 2016) posted!
8/24/2016
Professor Matei Zaharia and co-advisee Firas Abuzaid join Stanford CS and the Infolab. Welcome to campus, and here's to many more years of great research collaboration!
8/6/2016
New MacroBase results on the arXiv, including new results from production, video monitoring, time-series analysis.
7/23/2016
I talked about the Infolab and Future Data Systems on the Software Engineering Daily podcast.
7/18/2016
New video interview with Data By The Bay.
7/16/2016
Newest issue of Research for Practice is up on ACM Queue.
7/5/2016
What's MacroBase about? We've posted a one-page overview.
6/25/2016
Many thanks to VMWare for supporting Future Data Systems via an Early Career Faculty Award!
6/15/2016
Excited to unveil Research for Practice: expert-curated guides to the best of CS research in ACM Queue/CACM! Keep on the lookout for more issues.
6/2/2016
Growing excitement around MacroBase: UI upgrades, new time-series feature transforms, many talks and industrial use cases. Stay tuned for updates on the arXiv.
5/26/2016
Officially started at Stanford as an assistant professor of Computer Science! Onwards and upwards!
5/1/2016
I posted my talk transcript from NorCal DB Day, about the future of data management tools and what databases can learn from Le Corbusier.
4/30/2016
I wrote about getting started in research.
4/24/2016
I talked at Papers We Love Boston about "Streaming Queries over Streaming Data" (from VLDB 2002). Slides here.
4/21/2016
Lots of activity on MacroBase. Welcome to our Future Data Systems Spring quarter rotators!
3/28/2016
Thanks to RWE for supporting Future Data Systems via our work in the Stanford Data Science Institute, and welcome to Hans-Martin Hellebrand and Andreas Berger, visiting scholars in our group from RWE!
3/25/2016
I'm talking about MacroBase next month at the Stanford Computer Forum's Annual Meeting on April 12th.
3/20/2016
I'm thrilled to join my colleagues as part of the Secure Internet of Things project.
3/10/2016
New paper draft on our MacroBase engine: analytic monitoring for IoT.
03/02/2016
I wrote a post on lean research.
02/20/2016
I'm honored to be included in the 2016 Forbes 2016 "30 under 30" in Enterprise Technology. Thanks, Forbes!
01/04/2016
I wrote a new post on why I enjoyed graduate school.
01/01/2016
Our research group site is live!
12/17/2015
Readings in Database Systems, 5th Edition, co-edited with Joe Hellerstein and Mike Stonebraker is now online at redbook.io.
12/7/2015
I'm talking at GOTO Chicago in May 2016.
12/1/2015
Thanks to Toyota for generously supporting our ongoing research on systems for scalable anomaly detection.
11/30/2015
I'm excited to join the editorial board of ACM Queue and help lead a new section on research in practice.
11/23/2015
I've posted my Ph.D. thesis! Many thanks to all who helped make this possible.
10/30/2015
We posted a write-up of our experiences and thoughts regarding asynchronous distributed optimization within a dataflow framework on the arXiv.
10/24/2015
I talked at StrangeLoop about "When Worst is Best (in Distributed Systems Design)"; check out the deck and video!
9/30/2015
I'm looking for graduate students!
9/25/2015
In light of upcoming graduate student fellowship deadlines, I posted about and shared my NSF GRFP materials.
9/3/2015
Posted slide decks from MesosCon (keynote video) and SIGMOD on coordination-avoiding systems design and concurrency control in open source applications.
8/21/2015
Relocated to Cambridge, MA for the year.
7/16/2015
I'm giving a keynote at MesosCon 2015 (August 20-21 in Seattle) on "Silence is Golden: Coordination-Avoiding Systems Design."
6/30/2015
I'll be spending next year visiting the MIT CSAIL DB and systems groups.
6/17/2015
I'll be speaking at Strange Loop 2015 (September 24-26 in St. Louis) on "When Worst is Best (in Distributed Systems Design)."
6/10/2015
Accepted a tenure-track assistant professor position with Stanford Computer Science!
6/8/2015
New website.
6/6/2015