DEEP-EST Tutorial – Machine Learning and Modular Supercomputing
HIPEAC Conference 2019
Conference Centre, Valencia, Spain
2019-01-21
[ Event ]
Abstract
The fast training of traditional machine learning models and more innovative deep learning networks from increasingly growing large quantities of scientific and engineering datasets (aka ‘Big Data‘) requires high performance computing (HPC) on modern supercomputers today. HPC technologies such as those developed within the European DEEP-EST project provide innovative approaches w.r.t. processing, memory, and modular supercomputing usage during training, testing, and validation processes.
Materials
[ Lecture 3: Application of Machine Learning to Space Weather – Material will follow soon ]
[ Lecture 4: Deep Learning using Convolutional Neural Networks (CNNs) & Remote Sensing – Material will follow soon ]
Thanks to co-speaker Jorge Amaya @murci3lag0 & participants of our @DEEPprojects DEEP-EST Tutorial on Machine Learning & Modular Supercomputing driven by @fzj_jsc @fz_juelich @uni_iceland @Haskoli_Islands @uisens at HiPEAC 2019 @hipeac #HiPEAC19 – slides: https://t.co/xCDitaxS71 pic.twitter.com/kQQwNkwz0A
— Morris Riedel (@MorrisRiedel) January 23, 2019
#HiPEAC19 attendees! Interested in #machinelearning and #HPC? Don't miss this tutorial from @DEEPprojects on 21 January at 14:00
👉https://t.co/KRJAWYZGDJ https://t.co/dCdmrGTUHA— HiPEAC (@hipeac) January 16, 2019