NERSCPowering Scientific Discovery Since 1974

Data Day 2018

September 6th - 7th, 2018

Location: Lawrence Berkeley National Laboratory, Shyh Wang Hall, Bldg. 50, Auditorium

This Fall, NERSC hosts our data-centric event, Data Day, in combination with the LBNL Machine Learning for Science Workshop. Due to the increasing popularity of using NERSC for data intensive workloads, this year's data day will be two days!

September 6th will start with an overview of the statistical and machine learning analytics services at NERSC. We will also dive deep into the Deep Learning stack and best practices for using popular frameworks (TensroFlow, PyTorch) on Cori's architecture. The day will feature several interactive demos, one beginner level hands-on session and an advanced session on how to scale training your neural networks to multiple Cori nodes.

September 7th, will get you up and running with the latest data-focused tools for scientific computing. We will discuss practical recommendations for data transfer and management, ESNet, containers solutions (Shifter). The program will feature exciting science stories which have been made possible using these technologies given by domain scientists.

 The entire event will be held on site at the lab,  the exact location is to be announced soon. Come and learn how to power up your data. You cannot be there in person? Well, that is sad, but we will be delighted if you join us remotely.

Agenda

Thursday, Sept. 6th.

Location: Building 59, Room: 3101, 8:50am - 5:00pm

Remote participation.

Title Speaker Start time
Introduction to Data Day
Katie Antypas (NERSC) 8.50am

Overview of NERSC Data Stack (slides)

Prabhat (NERSC) 9.00am
Python at NERSC (slides) Rollin Thomas (NERSC) 9.30am
Jupyter @ NERSC: Demo and Best Practices Rollin Thomas (NERSC) 10.00am

Break

  10.30am
Visualization using Python Annette Greiner (NERSC) 11.00am
Overview of Deep Learning Stack at NERSC (slides) Wahid Bhimji (NERSC) 11.30am

Lunch

  12.00am

TensorFlow Demo: Detecting Supersymmetry at the LHC (slides)

S. Farrell and M. Mustafa (NERSC) 1.30pm
Break   2.30pm

Scaling Deep Learning on Cori: Hands-on activities (git-repo)

S. Farrell and M. Mustafa (NERSC)

3.00pm

Friday, Sept. 7th.

Location: Building 59, Room: 3101, 9:00am - 12:30pm

Remote participation.

Title Speaker Start time
Overview of Data Management @ NERSC (slides) Jialin Liu (NERSC) 9.00am
HPSS: Overview and Best Practices (slides) Nick Balthaser (NERSC) 9.30am

Spin: Overview (slides)

Cory Snavely (NERSC) 10.00am

Spin Use Case: the ESS-DIVE Data Archive (slides)

Val Hendrix (CRD) 10.15am

Break

  10.30am
Shifter: Overview and Science Use Cases (slides)  Bryce Foster (JGI) 11.00am
ESnet: Overview (slides) Kathryn Mace (ESnet) 11.30am
Data Transfer and Access @ NERSC (slides) Shreyas Cholia (CRD) 12.00pm

 

Venue

Lawrence Berkeley National Laboratory

Bldg. 50 Auditorium

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 use this form.

Remote Participation (Zoom)

Join from PC, Mac, Linux, iOS or Android: https://lbnl.zoom.us/j/259187594
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    Meeting ID: 259 187 594
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    Meeting ID: 259 187 594