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
    • 1
      Workshop Overview and Goals (10')
      Speaker: Mark Neubauer (Univ. Illinois at Urbana Champaign (US))
    • 2
      Highlights and Takeaways from the FastML Workshop (10')
      Speaker: Nhan Viet Tran (Fermi National Accelerator Lab. (US))
    • 3
      Co-Processor Activities within FastML (10')
      Speakers: Miaoyuan Liu (Purdue University (US)), Markus Julian Atkinson (Univ. Illinois at Urbana Champaign (US))
    • 4
      Fast ML Inference as a service (10' + 5')
      Speaker: Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US))
    • 5
      ML Frameworks in CMSSW (10' + 5')
      Speaker: Kevin Pedro (Fermi National Accelerator Lab. (US))
    • 6
      ML frameworks in Athena (10' + 5')
      Speaker: Mr Debottam Bakshi Gupta (University of Texas at Arlington (US))
    • 7
      ML Frameworks in DUNE (10' + 5')
      Speakers: Leigh Howard Whitehead (University of Cambridge (GB)), Leigh Whitehead (University of Warwick)
    • 8
      Fitting & Statistical Inference as a Service (8' + 2')
      Speaker: Matthew Feickert (Univ. Illinois at Urbana Champaign (US))
    • 11:10 AM
      Break
    • Discussion, Writing & Next Steps