Prof. Dr. - Ing. Morris Riedel

Morris Riedel Media 0

Media

Media – Overview

2022 RAISE CoE Training: LSTM and GRU Morris Riedel, Reza Hassanian 2022-10-31, Public YouTube Online Training and Teaching Seminar Abstract The RAISE CoE EU project works on nine different engineering use cases (see: https://www.coe-raise.eu/use-cases) that bring researchers and experts from the industry together to co-design intertwined AI and HPC methodologies for the Exascale era. These methodologies’ goal is to be usable by various scientific and engineering applications to enable AI at Exascale (see: https://www.coe-raise.eu/ai-exascale). While several of these applications adopt deep learning methods for image processing, such as Convolutional Neural Networks (CNNs), many other use cases require sequence analysis methods...

2020-02-17 PRACE Tutorial Parallel and Scalable Machine Learning Introduction Morris Riedel 0

Teaching

PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction

PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2020-02-17 – 2020-02-19 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~14,3 MB) [Morris Riedel] Lecture 2 – Introduction to Machine Learning Fundamentals (pdf, ~5,58 MB) [Morris Riedel] Lecture 3 – Supervised Learning with a Simple Learning Model (pdf, ~8,05 MB) [Morris Riedel] Lecture 4 – Artificial Neural Networks – ANNs (pdf, ~2,73 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Statistical Learning Theory (pdf, ~2,73 MB) [Morris Riedel] Lecture 6 – Validation and...

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Teaching

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...

2019 HPC Course Fall 2019 Course Outline 0

Teaching

HPC – Course Fall 2019

High Performance Computing – Course Fall 2019 Advanced Scientific Computing 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2019 Lecture 0 – Prologue Slides PDF (9,16 MB) Fully packed room teaching Lecture 0 – Prologue of our High Performance Computing course with ~50 students of @Haskoli_Islands @uni_iceland including Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de @uisens @helmholtz_ai slides: https://t.co/kyb7Sq31LX pic.twitter.com/VztJLeAFpH — Morris Riedel (@MorrisRiedel) August 27, 2019 Practical Lecture 0.1 – Short Introduction to UNIX & SSH...

2019-08-21 Machine Learning Co-Design of Future HPC Systems Morris Riedel 0

Talks

Machine Learning Co-Design of Future HPC Systems

Machine Learning Co-Design of Future HPC Systems BigBrain Workshop 2019 Seminar with Topic: Artificial Intelligence (AI) Methods and HPC Based Processing Juelich Supercomputing Centre, Forschungszentrum Juelich, Juelich, Germany 2019-08-21 [ Slides ~18.1 MB (pdf) ] Morris Riedel on the complex relationship between Deep Learning, Big Data and Modular Supercomputing at the Big Brain Workshop @HBPHighPerfComp @hbp @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects @helmholtz_ai – https://t.co/2ynAPPBtBw… pic.twitter.com/bA3axk73jq — Thomas Lippert (@Tomtherhymer) August 21, 2019 Presenting with Thomas Lippert at our BigBrain Workshop @BigBrainProject yesterday about #AI methods, #HPC in #neuroscience & modular supercomputing co-design by @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects...

2019-08-19 Importance of High Performance Computing for Machine Learning Morris Riedel 0

Talks

Importance of High Performance Computing for Machine Learning

Importance of High Performance Computing for Machine Learning Visiting Program for Delegation from South Korea organized by NRW.INVEST Seminar with Topic: Global Research and Development Incubating Center Juelich Supercomputing Centre, Forschungszentrum Juelich, Juelich, Germany 2019-08-19 [ Slides ~18.1 MB (pdf) ]

2019-06-17 Parallel and Scalable Machine Learning Co Design of a Modular Supercomputing Architecture Morris Riedel 0

Talks

Parallel and Scalable Machine Learning Co-Design of a Modular Supercomputing Architecture

Parallel and Scalable Machine Learning Co-Design of a Modular Supercomputing Architecture Invited Talk School for Simulation and Data Sciences (SSD), Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University Aachen, Germany 2019-06-17 [ EVENT ] [ Slides ~17.0 MB (pdf) ] Invited talk @RWTH about parallel & scalable #MachineLearning #DeepLearning in #HPC & #ON4OFF / #SMITH projects using @helmholtz_ai & modular supercomputing architecture by @fz_juelich @fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects – slides: https://t.co/xCDitaxS71 pic.twitter.com/47fENOXCDY — Morris Riedel (@MorrisRiedel) June 20, 2019

Introduction to Deep Learning Models Morris Riedel 0

Teaching

Introduction to Deep Learning Models

Introduction to Deep Learning Models Training Course organized by DEEP-EST Project Juelich Supercomputing Centre, Germany 2019-05-21 – 2019-05-23 [ EVENT ] [Morris Riedel] Lecture 1 – Deep Learning driven by HPC & Jupyter (pdf, ~10,7 MB) [Jenia Jitsev] Lecture 2 – Overview of Deep Learning (pdf, ~33,0 MB) [Morris Riedel] Lecture 3 – Neural Network (pdf, ~14,3 MB) [Morris Riedel] Lecture 4 – Convolutional Neural Network (pdf, ~9,83 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Deep Learning for Remote Sensing & 1D/2D CNNs for Hyperspectral Images Classification (pdf, ~3,86 MB) [Gabriele Cavallaro] Lecture 6 – 3D CNNs for Hyperspectral...

Fog Detection Using Deep Learning 0

Research

Fog Detection using Deep Learning

Fog Detection using Deep Learning See also Research activities driven by Ernir Erlingsson: http://www.ernire.org 2018-12-03 Workshop @ Jülich Supercomputing Centre, Germany Welcome Address – Juelich Supercomputing Centre (Morris Riedel) Slides PDF (10,2 MB) KNMI Data Lab (Jan Willem Noteboom) Slides PDF (7,3 MB) Fog Detection from Camera Images Experiences at KNMI (Andrea Pagani) Slides PDF (5,8 MB) DEEP-EST EU Project & JSC (Ernir Erlingsson) Slides PDF (9,5 MB) Research Results: To be published shortly Research Results to be published shortly #DeepLearning Practice & Experience: Deep Learning & Fog Detection – Research of PhD student E. Erlingsson @ernire, J. W. Noteboom...

Cloud-Computing-and-Big-Data-Fall-2018 0

Teaching

Cloud Computing and Big Data – Course Fall 2018

Cloud Computing and Big Data – Course Fall 2018 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2018 Lecture 0 – Prologue Slides PDF (9,59 MB) Starting teaching period with Lecture 0 – Prologue of Cloud Computing & Big Data – Parallel & Scalable Machine Learning & Deep Learning Course of @Haskoli_Islands @uni_iceland today mentioning also Modular Supercomputing driven by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de pic.twitter.com/52bmhnZNhs — Morris Riedel (@MorrisRiedel)...