NextGenTrigger Task 1.7 Coordination Meeting

Europe/Zurich
32/1-A24 (CERN)

32/1-A24

CERN

40
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Zoom Meeting ID
65606242618
Host
Axel Naumann
Alternative hosts
Andrea Bocci, Attila Krasznahorkay
Useful links
Join via phone
Zoom URL
 
 

2024.01.09 - https://indico.cern.ch/event/1359196/

Budget

Axel shared the current budget:

  • 450k year 1 (150k for EP/SFT, 100k for CMS, 100k for ATLAS, 100k for IT)
  • 550k years 2, 3, 4
  • 350k year 5
  • this does not include about 200k extra for ALICE and LHCb (2x ORIGIN)

This includes everything: overhead (material/travels) and supervision

Note: technically, the budget is split into EP and IT.
For example, for year 1 we have ~550k for EP and 100k for IT.

How is the 10% of “supervision” money spent and accounted ?

  • can we ask the supervisee to cover for 10% of the supevisor work ?
  • otherwise, does the money go to EP ?
  • or to supervisor’s group, e.g. EP/CMD ?

Expressions of interest:

Question: how do we want to organise the work ?

  • split by experiment ?
  • split by topic/milestone ?

Axel: propose to hire people to work on topics/milestones, and work across experiments.
We still need to identify a person responsible for the delivery of each topic/milestone.

ALICE (David Rohr)

  • efficient data structures
  • interface to ML inference (possibly funded on 1.2/1.3, still tbd)
  • (low priority) novel programming languaes

LHCb (Marco Clemencic)

  • efficient data structures
  • efficient scheduling
  • (personal interest) novel programming languaes

Marco Clemencic: what about high level domain-specific languages ?
For example, a DSL that gets transpiled into C++/CUDA/whatever and scheduled efficiently on each backend. This may sit across between efficient scheduling and programming languages.
Note: LHCb not much interested on cross CPU/GPU scheduling, but they might be interested for the simulation use case.

IT (Stefan Roiser)

  • efficient scheduling
  • efficient data structures
  • (low priority) interface to ML inference

Topics for IT are mainly simulation and especially event generation.

CMS/IT (Eric Cano)

  • efficient data structures
  • common heterogeneous libraries

CMS (Felice)

  • interface to ML inference
  • efficient data structures
  • common heterogeneous libraries

CMS (Andrea)

  • efficient scheduling
  • efficient data structures
  • (personal interest) novel programming languages

SFT (Axel)

  • interface to ML inference (only if Sophie is relevant)
  • efficient data structures (based on C++ reflection)
  • (not a priority) common heterogeneous libraries

ATLAS (Attila) (after the meeting)

ATLAS is interested in all the topics, except for the novel programming languages:

  • efficient scheduling
  • efficient data structures
  • common heterogeneous libraries
  • interface to ML inference

Action Items

  • Axel will ask Attila (ATLAS) for their interest
  • within each bullet point we have to discuss how to distribute the budget and personpower
  • the next meeting will be on Tuesday the 16th at 15:00.
 
There are minutes attached to this event. Show them.
    • 09:00 09:10
      News 10m
      Speaker: Axel Naumann (CERN)
    • 09:10 09:30
      Expressions of Interest 20m
    • 09:30 09:50
      Work and hiring plan 20m
    • 09:50 10:00
      Technical meeting series 10m