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...

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...

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)...

Supercomputing Impact In Big Data and Artificial Intelligence Morris Riedel 0

Talks

Supercomputing Impact in Big Data & Artificial Intelligence

Supercomputing Impact in Big Data and Artificial Intelligence Invited Keynote NextGen @ Helmholtz Conference 2018 GFZ Potsdam, Germany 2018-07-25 [ Event ] [ Slides ~9.8 MB (pdf) ] Thanks to @HelmholtzJrs for an invited keynote on 'Supercomputing Impact in Big Data & AI' including modular supercomputing driven by @DEEPprojects @fzj_jsc @fz_juelich & @Haskoli_Islands alongside @helmholtz_de president Prof. Otmar Wiestler at @GFZ_Potsdam #NextGenHelmholtz pic.twitter.com/0yUUS31z5e — Morris Riedel (@MorrisRiedel) July 25, 2018

Morris Riedel Big Data 0

Research

Big Data

Big Data Interesting Links http://www.big-data-network.eu Center of Excellences drive the development and evolution of all aspects of Big Data. https://www.rd-alliance.org/groups/big-data-analytics-ig.html Big Data Interest Group (IG) of the Research Data Alliance (RDA) with interesting topics around big data and its processing. http://www.big-data.tips Selected short but informative articles about big data and machine learning topics. http://www.bdva.eu Big Data Values Association (BDVA) that is the private counterpart to the EU Commission to implement the BDV PPP programme (Big Data Value Private-Public Partnership).

Scientific Big Data Analytics by HPC

Publications

Scientific Big Data Analytics by HPC

Scientific Big Data Analytics by HPC Thomas Lippert, Daniel Mallmann, Morris Riedel Publication Series of the John von Neumann Institute for Computing (NIC) NIC Series 48, 417, ISBN 978-3-95806-109-5, pp. 1 – 10, 2016 [ PID ] [ Juelich ] Abstract: Storing, managing, sharing, curating and especially analyzing huge amounts of data face an immense visibility and importance in industry and economy as well as in science and research. Industry and economy exploit ’Big Data’ for predictive analysis, to increase the efficiency of infrastructures, customer segmentation, and tailored services. In science, Big Data allows for addressing problems with complexities that...