An IRIS-HEP Blueprint Workshop

Portable Inference

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)

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

ZOOM link:

Registration for Mini-Workshop on Portable Inference
  • 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
  • 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