Prof. Dr. - Ing. Morris Riedel

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.


DEEP-EST Tutorial - Machine Learning and Modular Supercomputing

Materials

[ Lecture 1: Modular Supercomputing and Machine Learning – Welcome to HiPEAC Tutorial – Slides ~1.12 MB (pdf) ]

[ Lecture 2: Parallel and Scalable Classification using Artificial Neural Networks (ANNs) – Slides ~7.36 MB (pdf) ]

[ 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 ]


DEEP-EST Tutorial - Machine Learning and Modular Supercomputing Group