Morris Riedel Publications

Publications – Overview

Book Chapters Peer-reviewed Publications by the World’s most respected Academic Publishers Riedel, M.: e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science, Springer Book Series Computer Communications and Networks, Guide to e-Science – Next Generation Scientific Research and Discovery, 2011, pp. 233-264, ISBN 978-0-85729-439-5 [ BOOK SERIES ] [ DOI ] [ JUSER ] [ RESEARCHGATE ] Streit, A., Erwin, D., Lippert, T., Mallmann, D., Menday, R., Rambadt, M., Riedel, M., Romberg, M., Schuller, B., Wieder, P.: UNICORE – From Project Results to Production Grids, Elsevier Book Series Advances in Parallel Computing, Vol 14, 2005, pp. 357-376, ISBN...

Morris Riedel Teaching 0

Teaching – Overview

Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: Cloud Computing and Big Data – Parallel and Scalable Machine Learning and Deep Learning, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2018 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2017 [ MORE ] University Course: Cloud Computing and Big Data – Internet-based Shared Computing & Data Processing, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2017 University Course: High Performance Computing B – High Productivity Processing...

Morris Riedel Research 0

Research – Overview

Research Areas Research of the high productivity data processing research group at Forschungszentrum Juelich – Juelich Supercomputing Centre and University of Iceland focuses on application-driven parallel and scalable machine learning methods including related areas such as feature engineering, statistical data mining, and innovative deep learning techniques. In our projects we are cooperating with academic research groups worldside as well as with selected industry companies including the support of start-ups. Additional funding sources are the European Union or the German Federal Ministry of Education and Research. If you are interested in one of these research topics please contact me by email...

Morris Riedel Service 0

Service – Overview

Organisation of International Scientific Conferences Topic Chair Data Management, Analytics and Deep Learning 25th Euro-Par Conference, August 26-30, 2019, Goettingen, Germany [ Web Page ] Program Committee Member The 21st IEEE International Conference on High Performance Computing and Communications (HPCC-2019), August 10-12, 2019, Zhangjiajie, China [ Web Page ] Program Committee Member 8th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2018), December 11-13, 2018, Melbourne, Australia [ Web Page ] Program Committee Member 9th Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE 2018), held in conjunction with the 14th IEEE International Conference on e-Science (e-Science...

Morris Riedel Theses 0

Theses – Overview

Theses Proposals I’m always open to proposals for bachelor, master, or doctoral thesis topics that are along the lines of my research interests. Feel free to contact me for details. Doctoral Theses [In Progress] Deep Learning Application Co-Design on Innovative HPC Architectures Ernir Erlingsson, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland Phd student @ernire Ernir Erlingsson of @Haskoli_Islands alongside other data-driven & HPC application specialists explain technology experts at the @DEEPprojects F2F meeting how to take advantage of the modular supercomputing concept implemented by @fzj_jsc pic.twitter.com/aby8UE95l9 — Morris Riedel (@MorrisRiedel) May 8, 2018 Today...

Morris Riedel Media 0

Media – Overview

2017 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

Morris Riedel Biography 0

Biography

Biography Executive Summary Prof. Dr. – Ing. Morris Riedel is an Adjunct Associate Professor at the School of Engineering and Natural Sciences of the University of Iceland. He received his PhD from the Karlsruhe Institute of Technology (KIT) and works in parallel and distributed systems since 15 years. He previously held various positions at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. At this institute, he is also the head of a specific scientific research group focused on ‘High Productivity Data Processing’ and a cross-sectional team ‘Deep Learning’. Professional Networks and Associations Institute of Electrical and Electronics Engineers (IEEE)...

2019-07-01 ON4OFF Project Welcome and Use Case 4-Sterne Tisch Update Morris Riedel 0

ON4OFF Project – Welcome and Use Case 4 Sterne Tisch Update

ON4OFF Project – Welcome and Use Case 4 Sterne Tisch Update ON4OFF Project Meeting, Juelich Supercomputing Centre, Forschungszentrum Juelich Juelich, Germany 2019-07-01 [ Slides ~9.52 MB (pdf) ] #ON4OFF Project Meeting @fz_juelich discussing #MachineLearning in retail by @adessoAG @INtelegenceGmbH ProXperts @ProfHeinemann @PieperBeauty @paluno_se & using @helmholtz_ai & modular HPC by @fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects – https://t.co/xCDitaxS71 pic.twitter.com/CNLVEhLApy — Morris Riedel (@MorrisRiedel) July 2, 2019 Sieh dir diesen Beitrag auf Instagram an #ON4OFF Project Meeting @forschungszentrum_juelich discussing #MachineLearning in retail by @adesso_ag @in-telegence ProXperts Prof. Heinemann @parfuemerie_pieper @uni_duisburg_essen & using @helmholtz_de AI & modular HPC by Juelich Supercomputing Centre @haskoli_islands...

2019-06-19 Helmholtz Artificial Intelligence Cooperation Unit HAICU Morris Riedel 0

Helmholtz Artificial Intelligence Cooperation Unit – HAICU

Helmholtz Artificial Intelligence Cooperation Unit – HAICU Artificial Intelligence Collaboration Meeting, Heinrich Heine University Duesseldorf, Germany 2019-06-19 [ Slides ~6.62 MB (pdf) ] Presenting @helmholtz_ai @helmholtz_en @helmholtz_de Artificial Intelligence Cooperation Unit (HAICU) @fz_juelich Local Unit @ Duesseldorf University offering modular supercomputing by @fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects – slides: https://t.co/xCDitaxS71 pic.twitter.com/T9SuyY1uKl — Morris Riedel (@MorrisRiedel) June 22, 2019

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

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

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...

2019-05-10 AI IMPACTS HPC and Applications HIMAP Alumni Morris Riedel 0

Artificial Intelligence Impacts in HPC and Selected Applications

Artificial Intelligence Impacts in HPC and Selected Applications HOECHST International Management Associate Program (HIMAP) Alumni Juelich Supercomputing Centre, Juelich, Germany 2019-05-10 [ Slides ~14.1 MB (pdf) ] HOECHST Int. Management Associate Program (HIMAP) Alumni Visit presenting @helmholtz_ai Artificial Intelligence Cooperation Unit (HAICU), #ON4OFF, #SMITH & Modular Supercomputing by @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands @DEEPprojects – https://t.co/xCDitaxS71 pic.twitter.com/taw3xaaJbr — Morris Riedel (@MorrisRiedel) May 13, 2019

2019-05-06 ON4OFF Projekt Referenzmodell Use Cases Morris Riedel 0

ON4OFF Projekt – Referenzmodell Use Cases

ON4OFF Projekt – Referenzmodell Use Cases ON4OFF Use Cases Workshop Adesso, Essen Germany 2019-05-06 [ Slides ~2.79 MB (pdf) ] #ON4OFF Project @paluno_se @adessoAG @INtelegenceGmbH @fz_juelich ProXperts @ProfHeinemann discuss virtual smell & #Retail #MachineLearning reference model for @PieperBeauty via Modular HPC by @fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects – https://t.co/xCDitaxS71 pic.twitter.com/Tgx30CgKVN — Morris Riedel (@MorrisRiedel) May 6, 2019

2019-04-11 JARA-CSD CST Deep Learning Selected Applications Morris Riedel 0

JARA-CSD CST Deep Learning – Selected Applications

JARA-CSD CST Deep Learning – Selected Applications First JARA-CSD Workshop, AVT Building, RWTH Aachen University Aachen, Germany 2019-04-11 [ Slides ~9.96 MB (pdf) ] Talk at 1st Juelich Aachen Research Alliance (JARA) – Center for Simulation and Data Sciences (CSD) Workshop about #DeepLearning #SMITH #ON4OFF & Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands – slides: https://t.co/xCDitaxS71 pic.twitter.com/UN3btX2HoL — Morris Riedel (@MorrisRiedel) April 15, 2019

Morris Riedel AI in Cancer Research 0

AI in Cancer Research

AI in Cancer Research Online Links Nature Research: Big Data takes on Cancer [ MORE ] Extracts new meaning from large clinical and molecular datasets using machine learning and data science technologies Explains that people that did not studied cancer can make a difference as Artificial Intelligence (AI) researcher Suggests that algorithmic AI models could extract more insights from the clinical records Discusses how machine learning could detect tumours at an earlier stage and offer personalized treatment recommendations Parse patient medical reports and develops new deep learning methods to interpret diagnostic images Implements one tool for clinical practice as a...

Morris Riedel Helmholtz Artificial Intelligence Cooperation Unit 0

Helmholtz Artificial Intelligence Cooperation Unit

Helmholtz Artificial Intelligence Cooperation Unit (HAICU) HAICU Official Web Page HAICU Web Page [ MORE ] Social Media F. Theis @fabian_theis starts our @helmholtz_de @helmholtz_en Artificial Intelligence Cooperation Unit @helmholtz_ai https://t.co/HO07ifLoYb event & T. Dickscheid explains modular supercomputing by @fzj_jsc @fz_juelich @DEEPprojects @Haskoli_Islands – see: https://t.co/mRRewnhlxq pic.twitter.com/aMpGRn9o1N — Morris Riedel (@MorrisRiedel) April 12, 2019