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NUG 2020

August 17, 2020

All NERSC users are invited to join us at the NERSC Users Group (NUG) annual meeting on August 17, 2020. This year, the meeting will be online only.

NUG 2020 will focus on the upcoming Perlmutter system, which will arrive in two phases starting later this year. Please join us to learn about Perlmutter and its capabilities, how NERSC is preparing its facility to support the system, resources for helping get your applications running on the Phase I's GPUs, plans for software and services, how and when users will get access, and system features to support AI/learning and data analysis of experimental/observational data.

Contributed Lightning Talks

Users who would like to share experiences or scientific results are invited to submit an abstract for a short 10-minute lightning talk. Please submit a title and short abstract in the registration form (see link below), describing your proposed talk. Talks of broad interest or on the theme of preparing codes for Perlmutter are particularly encouraged. Selection of talks will be made by the NUG Executive Committee and NERSC staff.

Agenda - Monday, August 17, 2020

(subject to change)

Pacific TimeEastern TimeTopicPresenter(s) / Discussion Leader(s)
8:30 - 9:00 11:30 - 12:00 Welcome and set up and test Zoom connections  Alica Clum & Balint Joo NUGEX Chair and Co-Chair; Richard Gerber, Rebecca Hartman-Baker, NERSC
9:00 - 9:30 12:00 - 12:30 View from Washington Ben Brown, ASCR Facilities Director
Carol Hawk, ASCR, NERSC Program Manager
9:30 - 10:00 12:30 - 1:00 NERSC year in review, plans and Perlmutter overview Sudip Dosanjh, NERSC Director
10:00 - 10:20 1:00 - 1:20 Break/Lunch (20 minutes)  
10:20 - 10:50  1:20 - 1:50 The Perlmutter system, installation, and site preparation Tina Declerck, NERSC Systems Department Head; Doug Jacobsen, NERSC Systems Group Lead, Ben Maxwell, NERSC Building Infrastructure Group Lead
10:50 - 11:10 1:50 - 2:10 Perlmutter access, allocations and user environment Rebecca Hartman-Baker, NERSC User Engagement Lead
11:10 - 11:40 2:10 - 2:40 NESAP: Progress preparing applications for GPUs and lessons learned Jack Deslippe, NERSC Application Performance Lead
11:40 - 12:00 2:40 - 3:00 Break/Lunch (20 minutes)  
12:00 - 12:30 3:00 - 3:30 Superfacility and gateways for experimental and observational data Debbie Bard, NERSC Superfacility Lead; Cory Snavely, NERSC Infrastructure Services Lead
12:30 - 1:30 3:30 - 4:30 Breakout 1: NUGEX SIG: Experimental Science Users David Lawrence, NUGEX member, Jefferson Lab
Breakout 2: Application performance and portability across centers and architectures Brian Friesen, NERSC Application Performance Specialist
Breakout 3: Submitting a request for 2021 NERSC computer time and data storage; IRIS tricks and tips Clayton Bagwell, NERSC Account Support
Breakout 4: AI and Deep Learning on Perlmutter Wahid Bhimji, NERSC Big Data Architect
1:30 - 2:45 4:30 - 5:45 Contributed lightning talks  
2:45 - 3:00 5:45 - 6:00 Break  
3:00 - 3:30 6:00 - 6:30 NERSC operational metrics report Steve Leak, NERSC User Engagement
3:30 - 4:00 6:30 - 7:00 Open Discussion with NUGEX and NERSC  
4:00 7:00 Adjourn  

NUGEX SIG: Experimental Science Users Breakout Agenda

David Lawrence Introduction/Overview
David Lawrence GlueX at Jefferson Lab Data Processing w/ NERSC
Stephen Bailey Dark Energy Spectroscopic Instrument (DESI)
Michael Poat STAR
Jeff Porter ALICE
Chris O'Grady LCLS Realtime Analysis at NERSC
Bryce Foster JGI Workloads
David Lawrence Wrapup

Contributed Lightning Talks

Peter Ercius, LBL Analysis of 4D-STEM Data from a 480 Gbit/s Electron Detector
Matthew Ryder, ORNL Response Properties of Highly Porous Materials: Thermal, Pressure, and Electrical Response
Eric Stern, FNAL Refactoring the Synergia Accelerator Modeling Code with Kokkos to Achieve Perlmutter Readiness
Oisin Creaner, LBL Opticks on CoriGPU
Nikhel Gupta, U of Melbourne Mass Estimation of Galaxy Clusters with Deep Learning
Xueqiao Xu, LLNL Applying Microscopic Physics to the Macroscale through Deep Learning
Rose Yu, UCSD Towards Physics-informed Deep Learning for Turbulent Flow Prediction

Remote connection info

  • Main session

    Zoom Webinar ID: 923 6254 1374
    Passcode: NERSC
    https://lbnl.zoom.us/j/92362541374?pwd=VEZCb2N3c2RudkczMWlMcFcxTG12Zz09

    Or iPhone one-tap :
      US: +16699006833,,92362541374#,,,,,,0#,,546422# or +12532158782,,92362541374#,,,,,,0#,,546422#
    Or Telephone:
      Dial(for higher quality, dial a number based on your current location):
       US: +1 669 900 6833 or +1 253 215 8782 or +1 346 248 7799 or +1 646 558 8656 or +1 301 715 8592 or +1 312 626 6799
    Webinar ID: 923 6254 1374
    Passcode: 546422
      International numbers available: https://lbnl.zoom.us/u/aEkaUF61q

  • Breakout 1: NUGEX SIG: Experimental Science Users

    Zoom Meeting ID: 959 4106 5148
    Passcode: NERSC
    https://lbnl.zoom.us/j/95941065148?pwd=Qk9kZlhQb1hZdXlFWE9EeFdmaDVOQT09

    One tap mobile
    +16699006833,,95941065148#,,,,,,0#,,621062# US (San Jose)
    +12532158782,,95941065148#,,,,,,0#,,621062# US (Tacoma)

    Dial by your location
      +1 669 900 6833 or +1 253 215 8782 or +1 346 248 7799 or +1 646 558 8656 or +1 301 715 8592 or +1 312 626 6799
    Meeting ID: 959 4106 5148
    Password: 621062
    Find your local number: https://lbnl.zoom.us/u/acrQV3ZicD

  • Breakout 2: Application performance and portability across centers and architectures

    Zoom Meeting ID: 972 1144 3319
    Passcode: NERSC
    https://lbnl.zoom.us/j/97211443319?pwd=VlQ3R2d5ZTQyaUgvanhNWFlmejZ3UT09

    One tap mobile
    8558801246,,97211443319#,,,,,,0#,,513082# US Toll-free

    Dial by your location
      855 880 1246 US Toll-free
    Meeting ID: 972 1144 3319
    Passcode: 513082
    Find your local number: https://lbnl.zoom.us/u/adZOlSbZxG

  • Breakout 3: Submitting a request for 2021 NERSC computer time and data storage; IRIS tricks and tips

    Zoom Meeting ID: 731 499 0879
    Passcode: NERSC
    https://lbnl.zoom.us/j/7314990879?pwd=Z1B6UnRjaEVSeFNUb1hCSUFTWjE2dz09

    One tap mobile
    +13462487799,,7314990879#,,,,,,0#,,760714# US (Houston)
    +16465588656,,7314990879#,,,,,,0#,,760714# US (New York)

    Dial by your location
      +1 346 248 7799 or +1 646 558 8656 or +1 669 900 6833 or +1 253 215 8782 or +1 301 715 8592 or +1 312 626 6799
    Meeting ID: 731 499 0879
    Password: 760714
    Find your local number: https://lbnl.zoom.us/u/1Quyi

  • Breakout 4: AI and Deep Learning on Perlmutter

    Zoom Meeting ID: 925 8985 9627
    Passcode: NERSC
    https://lbnl.zoom.us/j/92589859627?pwd=ZUovVkZ2czM4VFVjZlEwSEVreFhYQT09

    One tap mobile
    +16699006833,,92589859627#,,,,,,0#,,781321# US (San Jose)
    +13462487799,,92589859627#,,,,,,0#,,781321# US (Houston)

Registration

Registration is free, but we need you to register for planning purposes and to assure your spot. Please use this form to register and optionally submit an abstract for a lightning talk.

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