IML Machine Learning Working Group Meeting - Hardware

Wednesday 23 Nov 2016, 15:00 → 17:00 Europe/Zurich

500/1-001 - Main Auditorium (CERN)

15:00 → 15:15 News and group updates

Speakers: Lorenzo Moneta (CERN), Michele Floris (CERN), Paul Seyfert (Universita & INFN, Milano-Bicocca (IT)), Dr Sergei Gleyzer (University of Florida (US)), Steven Randolph Schramm (Universite de Geneve (CH))

20161123_IML_news.pdf

15:15 → 15:30 Update on ML regression and application to hardware

Speaker: Andrew Mathew Carnes (University of Florida (US))

bdt_done_with_loss_functions_hardware_pres.pdf

15:30 → 15:45 Convolutional Neural Network Implementation on FPGAs for HEP

Slides available upon request (l.flekova@gmail.com)

Speakers: Lucie Flekova (Czech Technical University (CZ)), Lucie Flekova (TU Darmstadt)

15:45 → 16:00 Experience with Hybrid Intel Xeon/FPGA System

Speaker: Christian Faerber (CERN)

Experience with Hybrid Intel XeonFPGA System.pdf

16:00 → 16:20 Simplified Deep Learning Framework with DAL Library and OpenCL towards Hardware Applications

Speaker: David Nonso Ojika (University of Florida (US))

Building a Simplified Deep Learning Framework through DAAL and OpenCL.pdf

Building a Simplified Deep Learning Framework through DAAL and OpenCL.pptm

16:20 → 16:40 Overview of available neuromorphic computing architectures

Speaker: Karlheinz Meier (Ruprecht-Karls-Universitaet Heidelberg (DE))

KM-ML-CERN-11-2016.pdf

16:40 → 16:41 Minutes

IML-2016-11-23-minutes.txt