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, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2018 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, REI105M, 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, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2017 University Course: High Performance Computing B –...

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 Publications

Publications – Overview

Theses Candidate’s or Master’s thesis Riedel, M.: Design and Evaluation of a Collaborative Online Visualization and Steering Framework for e-Science Application in Grids, Master Thesis (2007), University of Hagen, Berichte des Forschungszentrum Juelichs, 2007 [ JUSER ] Riedel, M.: Prospects and Realization of Flexible Service Offers in a Grid Environment, Diploma Thesis (2004), University of Applied Sciences Cologne, Berichte des Forschungszentrum Juelichs, 2004 (Note: 6-month diploma theses are the German pre-Bologna equivalent of master’s theses) [ JUSER ] Doctoral thesis Riedel, M.: Design and Applications of an Interoperability Reference Model for Production e-Science Infrastructures, PhD Thesis (2012), Karlsruhe Institute of...

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 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)...

Morris Riedel Neural Architecture Search 0

Neural Architecture Search

Neural Architecture Search Succesful Examples Succesful NAS example in image classification: Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le. Learning transferable, architectures for scalable image recognition. In Conference on Computer Vision and Pattern Recognition, 2018. Succesful NAS example in image classification: Esteban Real, Alok Aggarwal, Yanping Huang, and Quoc V. Le. Aging Evolution for Image Classifier Architecture Search. In AAAI, 2019. Succesful NAS example in object detection: Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le. Learning transferable, architectures for scalable image recognition. In Conference on Computer Vision and Pattern Recognition, 2018. Succesful NAS example in semantic...

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

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) ]

Morris Riedel Graphics Processing Unit 0

Graphics Processing Card

Graphics Processing Card Research Activities of using GPUDirect in a Modular Supercomputing Architecture (MSA) during the EU DEEP-EST project. Social Media Hands-on GPU training with my PhD student Rocco Sedona @Rocco_Hashtag in a nice course by Andreas Heerten @AndiH @fz_juelich @fzj_jsc via CUDA on JUWELS & comparing architectures Kepler/Pascal/Volta @Haskoli_Islands @uni_iceland @uisens @DEEPprojects see: https://t.co/Jxz71NMpfn pic.twitter.com/NWeJbZ5s2R — Morris Riedel (@MorrisRiedel) August 8, 2019 Sieh dir diesen Beitrag auf Instagram an Hands-on GPU training with my PhD student Rocco Sedona @rocco_hashtag in a nice course by Andreas Heerten @andiherten at @forschungszentrum_juelich #julichsupercomputingcenter via CUDA on JUWELS & comparing architectures Kepler/Pascal/Volta @haskoli_islands...

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