This indico agenda is a clone of the actual one used for this event!
Please go to https://indico.cern.ch/e/FML in order to register and participate!
We are pleased to announce a four-day event “Fast Machine Learning", which will be hosted at the Fermilab LPC from September 10 to 13. The first two days (Sept 10-11) are dedicated to an IRIS-HEP blueprint meeting and is a traditional format with invited speakers. The second two days (Sept 12-13) are a more open “developer bootcamp” format with code tutorials and demonstrations.
Machine learning (ML) is rapidly becoming the major tool to analyze complex datasets over many different disciplines, including HEP (of course). Following the rapid rise of ML through deep learning (DL) algorithms, a re-investigation of processing technologies and strategies to accelerate deep learning and inference is well underway. This workshop is aimed at current and emerging methods and scientific applications for deep learning and inference acceleration, including Ultrafast on-detector inference and real-time systems, acceleration as-a-service, hardware platforms, coprocessor technologies (CPU/GPU/TPU/FPGAs), distributed learning, and hyper parameter optimization.
Format
Sept 10-11: open workshop and talks
Sept 12-13: tutorial, development, "office hours"
Organizing Committee
Phil Harris (MIT)
Burt Holzman (Fermilab)
Shih-Chieh Hsu (U. Washington)
Sergo Jindariani (Fermilab)
Maurizio Pierini (CERN)
Mark Neubauer (U. Illinois Urbana-Champaign)
Nhan Tran (Fermilab)
Local Organizing Committee
Gabriele Benelli (Brown U.)
Javier Duarte (Fermilab)
Lindsey Gray (Fermilab)
Mia Liu (Fermilab)
Kevin Pedro (Fermilab)
Alexx Perloff (CU Boulder)
Zhenbin Wu (UIC)
LPC Event Committee
Gabriele Benelli (Brown U.) (Co-Chair)
Kevin Pedro (Fermilab) (Co-Chair)
Zhenbin Wu (UIC)
LPC Coordinators
Cecilia Gerber (UIC)
Sergo Jindariani (Fermilab)
