An IRIS-HEP Blueprint Workshop

Portable Inference

America/Chicago
Virtual (Zoom)

Virtual

Zoom

Mark Neubauer (Univ. Illinois at Urbana Champaign (US)) , Javier Mauricio Duarte (Univ. of California San Diego (US)) , Allison Mccarn Deiana (Southern Methodist University (US)) , Philip Coleman Harris (Massachusetts Inst. of Technology (US)) , Shih-Chieh Hsu (University of Washington Seattle (US)) , Maurizio Pierini (CERN)
Description

We are pleased a mini-workshop (1/2 day) event “Portable Inference”, which will be held virtually on December 4, 2020. This virtual workshop is a satellite meeting co-"located" with the Fast Machine Learning Workshop a Blueprint meeting of the Institute for Research and Innovation for Software in High-Energy Physics (IRIS-HEP). 

The goal of this workshop is to bring together experts to share their experiences, on-going work and plans in area of portable inference. The workshop is meant to be an informal technical interchange between experiments and split 50/50 between short presentations and discussions. During the discussion block, we would like to develop a short document which identifies common challenges around portable inference for co-processing applications (e.g. High-level Trigger, analysis) and points of future collaboration. 

All participants in this workshop must abide to the IRIS-HEP Code-of-Conduct found at https://iris-hep.org/about/code-of-conduct

ZOOM link: https://illinois.zoom.us/j/87610344289?pwd=NnpZU0tWOU9vNmRPR3gyNXI3aGRPUT09

Registration
Registration for Mini-Workshop on Portable Inference
Participants
  • Alexx Perloff
  • Allison Mccarn Deiana
  • Amir Gholami
  • Burt Holzman
  • David Lange
  • Debottam Bakshi Gupta
  • Duc Hoang
  • Dylan Sheldon Rankin
  • Eleni Christidou
  • Emmanouil Vourliotis
  • Garyfallia Paspalaki
  • Giuseppe Di Guglielmo
  • GKOURAM MIRZAEV
  • Javier Mauricio Duarte
  • Jovan Mitrevski
  • Kevin Pedro
  • Kin Ho Lo
  • Lauri Antti Olavi Laatu
  • Leigh Howard Whitehead
  • Leonid Didukh
  • Mark Neubauer
  • Markus Julian Atkinson
  • Matthew Feickert
  • Maurizio Pierini
  • Miaoyuan Liu
  • Nhan Tran
  • Philip Harris
  • Rohin Thampilali Narayan
  • Rui Zhang
  • Shih-Chieh Hsu
  • Yongbin Feng
  • Zachary Ho
    • 09:30 09:40
      Workshop Overview and Goals (10') 10m
      Speaker: Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
    • 09:40 09:50
      Highlights and Takeaways from the FastML Workshop (10') 10m
      Speaker: Nhan Viet Tran (Fermi National Accelerator Lab. (US))
    • 09:50 10:00
      Co-Processor Activities within FastML (10') 10m
      Speakers: Miaoyuan Liu (Purdue University (US)) , Markus Julian Atkinson (Univ. Illinois at Urbana Champaign (US))
    • 10:00 10:15
      Fast ML Inference as a service (10' + 5') 15m
      Speaker: Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US))
    • 10:15 10:30
      ML Frameworks in CMSSW (10' + 5') 15m
      Speaker: Kevin Pedro (Fermi National Accelerator Lab. (US))
    • 10:30 10:45
      ML frameworks in Athena (10' + 5') 15m
      Speaker: Mr Debottam Bakshi Gupta (University of Texas at Arlington (US))
    • 10:45 11:00
      ML Frameworks in DUNE (10' + 5') 15m
      Speakers: Leigh Howard Whitehead (University of Cambridge (GB)) , Leigh Whitehead (University of Warwick)
    • 11:00 11:10
      Fitting & Statistical Inference as a Service (8' + 2') 10m
      Speaker: Matthew Feickert (Univ. Illinois at Urbana Champaign (US))
    • 11:10 11:30
      Break 20m
    • 11:30 13:00
      Discussion, Writing & Next Steps