WLCG Management Board (VIDYO-ONLY meeting)

Tuesday 21 Jul 2020, 16:00 → 18:00 Europe/Zurich

Simone Campana (CERN)

16:00 CERN/10:00 EDT/09:00 CDT

To join by phone:
1) dial your local Vidyo number (e.g. +41227671400) then enter the MB extension code 109313902 then #
2) mute your phone (there is no auto-mute facility)
Note: calls are charged to the caller (there is no callback facility)

Email Distribution List: worldwide-lcg-management-board@cern.ch
Email List Archive: worldwide-lcg-management-board (requires CERN authentication)
Minutes: Management Board Meeting Minutes
See also the: WLCG Document Repository,  WLCG Web Site

16:00 → 16:05 Minutes and Matters Arising

16:05 → 16:10 Action List Review

Action List

16:10 → 16:20 WLCG Service Report

Speakers: Borja Garrido Bear (CERN), Maarten Litmaath (CERN)

WLCG-210720-v11.pdf

WLCG-210720-v11.pptx

16:20 → 16:30 Update on the use of computing resources for COVID-19 research

Speaker: Simone Campana (CERN)

This extract is from a DRAFT article being prepared for the CERN bulletin.

Authors: Melissa.Gaillard@cern.ch, James.Gillies@cern.ch

###

As a first response to the pandemic, the particle physics’ community mobilised its number crunching’s capabilities, allocating processors from the CERN, the LHC experiments, and the Worldwide LHC Computing Grid’s data centres to support volunteer-computing initiatives such as Rosetta@home and Folding@home that simulate protein dynamics to help in the fight against COVID-19. With the pandemic worsening, those distributed computing projects rapidly grew in terms of participants and were able to combine a processing capacity exceeding several exaFLOPS, a first in the world.  For CERN and the particle physics’community, it was time by then to switch from dedicating computer cores to contributing to those initiatives in more specific ways, through data management and data analytics’ expertise as well as software resources.

Open source technologies which are key to particle physics’ data management, are also particularly well suited for optimising the transfer and management of the COVID-19 research data. Examples are FTS, the File Transfer System developed by CERN,and Rucio, the scientific data management system initially developed by and for the LHC ATLAS experiment and now adopted by many scientific communities. Developments to adapt them to the Folding@home needs have been successfully completed. Folding@home, in their recently published paper, thanked CERN and the particle physics community, for thiscollaboration on data management. 

####

16:30 → 16:40 Follow-up on benchmarking

Speaker: Helge Meinhard (CERN)

2020-07-21-LCGMB-BenchmarkingTF.pdf

16:40 → 16:50 SWIFT-HEP

Speaker: Peter Clarke (The University of Edinburgh (GB))

200721-WLCG-MB-SWIFT-HEP.pdf

16:50 → 16:55 AOB