Data Day 2017
September 19th - 20th, 2017
Building 50 Auditorium (19th Sept) and Wang Hall - Building 59 (20th Sept)
Lawrence Berkeley National Laboratory
This Fall, NERSC hosts our data-centric event, Data Day, in combination with the NUG Annual Meeting. The main event will take place on September 19, followed by a half-day hackathon on September 20. The goal: to bring together researchers who use, or are interested in using, NERSC systems for data-intensive work.
On September 19, a full day of talks and tutorials will get you up and running with the latest data-focused tools for scientific computing. Training sessions on machine learning, Python, Machine Learning, the Cori Burst Buffer, and Shifter will be complemented by presentations from scientists already taking advantage of these tools in their own research.
Stick around for the hack day, and you’ll get a chance to put your new knowledge to work with guided tutorials in machine learning and the Burst Buffer, and experts on hand to answer all your data-related questions. The entire event will be held on site at the lab, in the Building 50 Auditorium and in Wang Hall, NERSC’s new landmark building at Berkeley Lab. Come and learn how to power up your data.
Agenda
Tuesday, 19th Sept, Bldg 50 Auditorium
Remote participation for all talks via Zoom:
https://lbnl.zoom.us/j/468190374
MC: Annette Grenier
Title | Speaker | Start time |
Introduction to Data Day (video) | Kathy Yelick (UCB, LBL) | 8.30am |
Accelerating Science with Generative Adversarial Networks (slides, video) | Michela Paganini (Yale) | 8.45am |
Machine Learning Demo (ipython notebook, video) | Mustafa Mustafa (NERSC) | 9.15am |
Burst Buffer Demo (slides, ipython notebook, video [note first minute of video is missing]) | Debbie Bard (NERSC) | 9.45am |
Break |
10.15am | |
Benchmarking an Assembly Algorithm on NERSC Systems (slides, video) | Alicia Clum (JGI) | 10.45am |
Shifter Tutorial (slides, video) | Shane Canon (NERSC) | 11.15am |
Using Shifter to Explore the Parameter Space Created by Biophysically Detailed Neuronal Models (slides, video) |
Roy Ben-Shalom (UCSF) | 11.45am |
Lunch |
12.15pm | |
ESNET (slides, video) | Eli Dart (ESNET) | 1.30pm |
Data Management/Movement (slides, video) | Jialin Liu, Lisa Gerhardt (NERSC) | 2pm |
Data Management and Analysis at Free Electron Lasers. Perspectives from the ExaFEL LCLS/NERSC Collaboration (slides, video) | David Skinner (NERSC) | 2.30pm |
Break |
3pm | |
Python DEMO (slides, video) | Rollin Thomas (NERSC) | 3.30pm |
Performance Optimization of a Tomographic Reconstruction Code (TomoPy) (slides, video) | Zahra Ronaghi (NERSC) | 4pm |
Closeout | Prabhat (NERSC) | 4.30pm |
Wednesday 20th: Data Hackathon/ Data Competition
Wang Hall (bldg 59) room 3101, 9am - noon
Join us for a half-day of hacking on any data-related topic you like! NERSC experts will be on-hand to help you with your all data problems.
Join in the Data Competition, run through a Burst Buffer tutorial, try out Spark or machine learning on Cori, or try out one of the tools you heard about on Data Day!
Venue
Lawrence Berkeley National Laboratory
Wang Hall and Building 50
1 Cyclotron Road, Bldg. 59
Berkeley, CA 94720
Tel: 510.486.7612
http://www.lbl.gov/
Lawrence Berkeley National Laboratory is a multidisciplinary national laboratory located in Berkeley, California on a hillside directly above the campus of the University of California at Berkeley. The site consists of 76 buildings located on 183 acres, which overlook both the campus and the San Francisco Bay. »More Visitor Information.
Registration
For registration, lodging and transport information, please see the main NUG2017 page here.
Remote Participation (Zoom)
https://lbnl.zoom.us/j/468190374
Or Telephone:
US: +1 408 638 0968 or +1 646 876 9923
Meeting ID: 468 190 374