Prof. Dr. - Ing. Morris Riedel

Morris Riedel Teaching 0

Teaching

Teaching – Overview

Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: High Performance Computing – Advanced Scientific Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2022 [ MORE ] 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, Spring 2021 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2021 [ MORE ] University Course: Cloud Computing and Big Data – Parallel...

Morris Riedel Theses 0

Theses

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 [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 [ MORE ] [In Progress] Design and Evaluation of a Joint Model of Service Access including Service Discovery and Federated Identity Management in e-infrastructures Ahmed Shiraz Memon, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland [...

Morris Riedel Biography 0

Biography

Biography

Biography Executive Summary Prof. Dr. – Ing. Morris Riedel received his PhD from the Karlsruhe Institute of Technology (KIT) and worked in data-intensive parallel and distributed systems since 2004. He is currently a Full Professor of High-Performance Computing with an emphasis on Parallel and Scalable Machine Learning at the School of Natural Sciences and Engineering of the University of Iceland. Since 2004, Prof. Dr. – Ing. Morris Riedel held various positions at the Juelich Supercomputing Centre of Forschungszentrum Juelich in Germany. In addition, he is the Head of the joint High Productivity Data Processing research group between the Juelich Supercomputing...

Morris Riedel Publications

Publications

Publications – Overview

Academic Articles Articles published in ISI Journal with a High Impact Factor Sedona, R., Hoffmann, L., Spang, R., Cavallaro, G., Griessbach, S., Hoepfner, M., Book, M., Riedel, M.: Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds, Atmospheric Measurement Techniques, 13(7), 3661 – 3682, 2020[ JOURNAL ] [ DOI ] [ JUSER ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] Sedona, R., Cavallaro, G., Jitsev, J., Strube, A., Riedel, M., Benediktsson, J.A.: Remote Sensing Big Data Classification with High Performance Distributed Deep Learning, Journal of Remote Sensing, Multidisciplinary Digital Publishing Institute (MDPI), Special...

Morris Riedel Research 0

Research

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

Service – Overview

Organisation of International Scientific Conferences Topic Chair Data Management, Analytics and Deep Learning 26th Euro-Par Conference, August 24-28, 2020, Warsaw, Poland [ Web Page ] Program Committee Member 2020 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2020), December 17-19, 2020, Exeter, UK [ Web Page ] Program Committee Member 10th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2020), December 17-19, 2020, Exeter, UK [ Web Page ] Program Committee Member The 22nd IEEE International Conference on High Performance Computing and Communications (HPCC-2020), December 14-16, 2020, Fiji [ Web Page ] Program Committee Member...

Morris Riedel Media 0

Media

Media – Overview

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 ]...

2022 High Performance Computing 2022 Course Outline 0

Teaching

HPC – Course Spring 2022

High Performance Computing – Course Spring 2022 Advanced Scientific Computing 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Spring 2022 TBD

2021 Cloud Computing and Big Data Course Outline 0

Teaching

Cloud Computing and Big Data – Course Fall 2021

Cloud Computing and Big Data – Course Fall 2021 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2021 More information about lecture materials will follow soon.

2021-05-17 Practice and Experience in Using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures Morris Riedel 0

Talks

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

Practice and Experience in Using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures 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 Thanks for a great conference workshop @IPDPS 2021 HCW Workshop 👉slides: https://t.co/SHaiOm3w6R… 👉talk recording: https://t.co/Ze00JSAd1q@Haskoli_Islands @uni_iceland @fzj_jsc @fz_juelich @helmholtz_ai @helmholtz_en @EuroHPC_JU @EuroHpc @CoeRaise @DEEPprojects @EOSC_Nordic — Morris Riedel (@MorrisRiedel) May 18, 2021

2021 HPC Course Spring 2021 Course Outline 0

Teaching

HPC – Course Spring 2021

High Performance Computing – Course Spring 2021 Advanced Scientific Computing 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Spring 2021 More information about slide materials will follow soon.

THE INFLUENCE OF SAMPLING METHODS ON PIXEL-WISE HYPERSPECTRAL IMAGE CLASSIFICATION WITH 3D CONVOLUTIONAL NEURAL NETWORKS-MORRIS RIEDEL 0

Publications

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks Lange, J., Cavallaro, G., Goetz, M., Erlingsson, E., Riedel, M.: The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), July 22-27, 2018, Valencia, Spain [ EVENT ] [ DOI ] [ JUSER ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] Abstract: Supervised image classification is one of the essential techniques for generating semantic maps from remotely sensed images. The lack of labeled ground truth datasets,...

2021-03-22 EuroHPC Summit Week 2021 Morris Riedel 0

Biography

EuroHPC Summit Week 2021

EuroHPC Summit Week 2021 March 22 – 26, 2021 Virtual Conference [ EVENT ] Description The EuroHPC Summit Week (EHPCSW) 2021 will gather the main European HPC stakeholders from technology suppliers and HPC infrastructures to scientific and industrial HPC users in Europe. As in previous years, PRACE, the Partnership for Advanced Computing in Europe, organises the eighth edition of its Scientific and Industrial Conference (PRACEdays21) within the EHPCSW 2021. PRACEdays21 will bring together experts from academia and industry who will present their advancements in HPC-supported science and engineering. The EHPCSW 2021 will provide a great opportunity for the attendees to...

2021-02-27 Haskoladagurinn Digital University Day University of Iceland 0

Biography

2021 Digital University Day – Haskoladagurinn University of Iceland

2021 Digital University Day – Haskoladagurinn University of Iceland February 27, 2021 Virtual Conference [ EVENT ] Description The annual University Day takes place on Saturday 27 February between 12 – 4 P.M., this year entirely online due to restrictions on gatherings. This day guests get the opportunity to talk to students and teachers in each and every programme in undergraduate studies at the University of Iceland in open online meetings on whatever concerns the programme. The University will, furthermore, broadcast live from the Aula where research scientists discuss their studies and social issues; showing a different side than usually...

RAISE COE Project 0

Research

RAISE – CoE – Project

RAISE – CoE – Project Research on AI- and Simulation-Based Engineering at Exascale Center of Excellence RAISE CoE Web Page The CoE RAISE project have received funding from the European Union’s Horizon 2020 – Research and Innovation Framework Programme H2020-INFRAEDI-2019-1 under grant agreement no. 951733 EC Call H2020-INFRAEDI-2019-1 – Topic INFRAEDI-05-2020 RIA Talks and Presentations RAISE WP2 – AI and HPC Cross Methods at Exascale, RAISE CoE Project Kick-off Seminar, January 22, 2021, Online [ Slides ~1.95 MB (pdf) ] Social Media Great to kick-off our CoE RAISE Project together with project coordinator @AndreasLinterm1enabling #AI & #HPC Cross Methods at...

Morris Riedel Markov Chain 0

Teaching

HDS-LEE Lectures on Data Science: Neural Networks & Deep Learning

Lecture 1 – Introduction to Machine Learning and Perceptron Learning Model Slides PDF (8,49 MB) Lecture 2 – Artificial Neural Network Learning Model and Backpropagation Slides PDF (9,49 MB) Lecture 3 – Deep Learning and Convolutional Neural Network Learning Model Slides PDF (14,3 MB) Practical Lecture 4 – Using Artificial Neural Networks and Convolutional Neural Networks Slides PDF (4,23 MB) Practical Lecture 4 – Using Artificial Neural Networks and Convolutional Neural Networks – Notebooks ZIP (3,71 MB)