2021

Talk at IPDPS HCW 2021: Practice and Experience in Using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures
Morris Riedel
Heterogenity in Computing Workshop (HCW) held in conjunction of the
35th IEEE International Parallel and Distributed Processing Symposium (IPDPS)
Portland, Virtual Conference,
2021-05-17 – 2020-05-21
[ EVENT ] [ Slides ~21.3 MB (pdf) ]

Practice and Experience in Using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

2020

Chairing Euro-Par 2020 Best Paper Session
Morris Riedel
Topic Chair Data Management, Analytics and Deep Learning
26th Euro-Par Conference, August 24-28, 2020, Warsaw, Poland
[ Event ]

Chairing Euro-Par 2020 Best Paper Session

Chairing Euro-Par 2020 Topic 05 Data Management – Euro-Par 2020 Session
Morris Riedel
Topic Chair Data Management, Analytics and Deep Learning
26th Euro-Par Conference, August 24-28, 2020, Warsaw, Poland
[ Event ]

Chairing Euro-Par 2020 Topic 05 Data Management – Euro-Par 2020 Session

UTmessan 2020 – Demystifying Quantum Computing
Morris Riedel
UTmessan 2020, February 7, 2020, Harpa, Reykjavik, Iceland
[ Event ]

UTmessan 2020 – Demystifying Quantum Computing

2017

Invited Tutorial – Deep Learning using a Convolutional Neural Network
Morris Riedel
Ghent University, six lectures including exercises
2017-11-30 – 2017-12-01
[ Event ]

Lecture 1 – Deep Learning Fundamentals and GPGPUs
Lecture 2 – Convolutional Neural Networks and Tools
Lecture 3 – Convolutional Neural Network Applications
Lecture 4 – Convolutional Neural Network Challenges
Lecture 5 – Transfer Learning Technique
Lecture 6 – Other Learning Models & Summary

Invited Tutorial – Introduction to Machine Learning Algorithms
Morris Riedel
Ghent University, six lectures including exercises
2017-11-23 – 2017-11-24
[ Event ]

Lecture 1 – Machine Learning Fundamentals
Lecture 2 – Unsupervised Clustering and Applications
Lecture 3 – Supervised Classification and Applications
Lecture 4 – Classification Challenges and Solutions
Lecture 5 – Regularization and Support Vector Machines
Lecture 6 – Validation and Parallelization Benefits

PRACE 2017 Spring School – Introduction to Parallel and Scalable Machine Learning – Basics
Morris Riedel
The Cyprus Institute, April, 25 – 27, 2017, Nicosia, Cyprus
[ Event ]

PRACE 2017 Spring School – Introduction to Parallel and Scalable Machine Learning – Basics

PRACE 2017 Spring School – Introduction to Parallel and Scalable Machine Learning – Parallelization Benefits
Morris Riedel
The Cyprus Institute, April, 25 – 27, 2017, Nicosia, Cyprus
[ Event ]

PRACE 2017 Spring School – Introduction to Parallel and Scalable Machine Learning – Parallelization Benefits

2016

UTmessan 2016 – Societal Impact of High Performance Computing in Science and Engineering
Morris Riedel
UTmessan 2016, February 5 – 6, 2016, Harpa, Reykjavik, Iceland
[ Event ]

UTmessan 2016 – Societal Impact of High Performance Computing in Science and Engineering

2015

PRACE XSEDE Interoperability Projects – Smart Data Analytics for Earth Sciences across XSEDE and PRACE
Morris Riedel
ECSS Online Webinar, March 6, 2015
(Talk starts at 32 minutes 11 seconds)
[ Event ]

PRACE XSEDE Interoperability Projects – Smart Data Analytics for Earth Sciences across XSEDE and PRACE

2011

Interview: Grid Interoperation Now GIN OGF Working Group at OGF31 as GIN CG Co Chair
Morris Riedel
Open Grid Forum (OGF) 31 Conference, March 21, 2011, Taipei, Taiwan
[ Event ]

Interview: Grid Interoperation Now GIN OGF Working Group at OGF31 Morris Riedel Forschungszentrum Jülich GIN CG Co Chair

2009

Interview: Production Grid Infrastructure PGI OGF Working Group at OGF25 as PGI WG Co Chair
Morris Riedel
Open Grid Forum (OGF) 25 Conference, March 2 – 3, 2009, Catania, Italy
[ Event ]

Interview: Production Grid Infrastructure PGI OGF Working Group at OGF25 Morris Riedel Forschungszentrum Jülich PGI WG Co Chair