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 Talks

Talks – Overview

2018 Parallel and Scalable Machine and Deep Learning @ JSC NCSA Affiliates Meeting International Supercomputing Conference 2018, Dallas, Texas, USA 2018-11-14 [ More ] Big Data and Artificial Intelligence at FZJ and JSC Welcome Address Visit of Dr. Edmund Heller, State Secretary of North Rhine-Westphalia (NRW), Germany Juelich Supercomputing Centre, Forschungszentrum Juelich, Germany 2018-08-09 [ More ] Supercomputing Impact in Big Data and Artificial Intelligence Invited Keynote NextGen @ Helmholtz Conference 2018 GFZ Potsdam, Germany 2018-07-25 [ More ] Parallel Machine Learning and Deep Learning Driven by HPC Invited Talk 4th International Summer School for Big Data and Machine Learning...

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 Teaching 0

Teaching – Overview

2018 Cloud Computing and Big Data Parallel and Scalable Machine Learning and 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 [ More ] 2017 High Performance Computing 18 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 2017 [ More ] Cloud Computing and Big Data 18 university lectures with additional practical lectures...

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 Publications

Publications – Overview

2018 Automatic Water Mixing Event Identification in the Koljö Fjord Observatory Data Markus Goetz, Mikhail Kononets, Christian Bodenstein, Morris Riedel, Matthias Book, Olafur Petur Palsson International Journal of Data Science and Analytics, Springer, DOI: 10.1007/s41060-018-0132-z, 2018 [ Journal ] The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks Julius Lange, Gabriele Cavallaro, Markus Goetz, Ernir Erlingsson, Morris Riedel In conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018, Valencia, Spain, to appear [ Event ] Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images...

2018-11-14 Parallel and Scalable Machine and Deep Learning at JSC Morris Riedel 0

Parallel and Scalable Machine and Deep Learning at JSC

Parallel and Scalable Machine and Deep Learning at JSC NCSA Affiliates Meeting International Supercomputing Conference 2018, Dallas, Texas, USA 2018-11-14 [ Slides ~4.76 MB (pdf) ] Thanks for discussions at the #SC18 NCSA @NCSAatIllinois affiliates meeting & invitation to talk about @DEEPprojects & ML/DL at JSC @fzj_jsc @fz_juelich & our international lab idea with University of Iceland @uni_iceland @uisens @Haskoli_Islands – slides: https://t.co/xCDitaxS71 pic.twitter.com/hAykWjDT1P — Morris Riedel (@MorrisRiedel) November 17, 2018

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

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)...

Big Data and AI FZJ JSC Visit Dr Edmund Heller Morris Riedel 0

Big Data and Artificial Intelligence at FZJ and JSC

Big Data and Artificial Intelligence at FZJ and JSC Welcome Address Visit of Dr. Edmund Heller, State Secretary of North Rhine-Westphalia (NRW), Germany Juelich Supercomputing Centre, Forschungszentrum Juelich, Germany 2018-08-09 [ Web Page Dr. Edmund Heller ] [ Slides ~3.97 MB (pdf) ] NRW State Secretary @MAGS_NRW Dr. Heller at Forschungszentrum Juelich @fz_juelich @helmholtz_de & Prof. Eickhoff @INM7_ISN discussing Big Data, Artificial Intelligence & Modular Supercomputing driven by @DEEPprojects @Haskoli_Islands @fzj_jsc – slides at https://t.co/xCDitaxS71 pic.twitter.com/BCioC6IGrn — Morris Riedel (@MorrisRiedel) August 10, 2018

Supercomputing and Big Data Parallel Machine Learning Tutorial Morris Riedel 0

Supercomputing and Big Data Tutorial

Supercomputing and Big Data Tutorial: Parallel and Scalable Machine Learning Algorithms NextGen @ Helmholtz Conference 2018 GFZ German Research Centre for Geosciences, Potsdam, Germany 2018-07-26 [ Event ] Abstract The fast training of traditional machine learning models and more innovative deep learning networks from increasingly growing large quantities of scientific and engineering datasets (aka ‘Big Data‘) requires high performance computing (HPC) on modern supercomputers today. HPC technologies such as those developed within the European DEEP-EST project provide innovative approaches w.r.t. processing, memory, and modular supercomputing usage during training, testing, and validation processes. This workshop thus focus on parallel and scalable...

Supercomputing Impact In Big Data and Artificial Intelligence Morris Riedel 0

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

Parallel Machine Learning and Deep Learning Driven by HPC Morris Riedel 0

Parallel Machine Learning and Deep Learning Driven by HPC

Parallel Machine Learning and Deep Learning Driven by HPC Invited Talk 4th International Summer School for Big Data and Machine Learning Organized by Competence Center for Scalable Data Services and Solutions (SCADS) and Berlin Big Data Center (BBBC) University of Leipzig, Germany 2018-07-03 [ Event ] [ Slides ~18.8 MB (pdf) ] Invited talk at the 4th Int. Summer School for Big Data & Machine Learning organized by @Sca_DS & @BerlinBDC about parallel machine learning & deep learning driven by hpc & modular supercomputing by @DEEPprojects, @fzj_jsc @fz_juelich & @Haskoli_Islands – https://t.co/xCDitaxS71 pic.twitter.com/iJiv96uctG — Morris Riedel (@MorrisRiedel) July 4, 2018

ISC2018 Tutorial on Machine Learning and Data Analytics Morris Riedel 0

ISC2018 Tutorial on Machine Learning and Data Analytics

ISC2018 Tutorial on Machine Learning and Data Analytics Invited Tutorial Science, Technology, Engineering, and Mathematics (STEM) Student Day & Gala International Supercomputing Conference (ISC), Frankfurt, Germany 2018-06-27 [ Event ] [ ISC 2018 Tutorial on Machine Learning and Data Analytics – Slides ~15.4 MB (pdf) ] Thanks to the ISC 2018 @ISCHPC team for inviting me to give a HPC Machine Learning & Data Analytics tutorial at the STEM student day; nice discussions with students about modular supercomputing driven by @DEEPprojects, @fzj_jsc & @Haskoli_Islands; slides: https://t.co/xCDitaxS71 pic.twitter.com/pBQ1JXKPJU — Morris Riedel (@MorrisRiedel) June 29, 2018 Meeting many colleagues of our DEEP-EST...

2018-06-06-Introduction-To-Deep-Learning-Tutorial-Content 0

DEEP-EST Tutorial: Introduction to Deep Learning

DEEP-EST Tutorial: Introduction to Deep Learning Tutorial under the umbrella of the DEEP-EST EU Project Juelich Supercomputing Centre, Germany 2018-06-06 – 2018-06-07 [ Event ] Materials [ Lecture 1 – Introduction to Deep Learning – Slides ~3.29 MB (pdf) ] [ Lecture 2 – Fundamentals of Convolutional Neural Networks (CNNs) – Slides ~3.81 MB (pdf) ] [ Lecture 3 – Deep Learning in Remote Sensing: Challenges – Slides ~8.11 MB (pdf) ] [ Lecture 4 – Deep Learning in Remote Sensing: Applications – Slides ~1.98 MB (pdf) ] [ Lecture 5 – Model Selection and Regularization – Slides ~1.78 MB...

Modular Supercomputing Design supporting Machine Learning Applications 0

Modular Supercomputing Design supporting Machine Learning Applications

Modular Supercomputing Design supporting Machine Learning Applications IEEE MIPRO Conference 2018 Opatija, Croatia 2018-05-24 [ Event ] [ Slides ~6.12 MB (pdf) ] Thanks to colleagues at the IEEE MIPRO Conference in Opatija/Croatia for great feedback of our paper talk with discussions on how modular supercomputing driven by @DEEPprojects & @fzj_jsc & @Haskoli_Islands can be used with ECG data & LSTM deep learning – https://t.co/xCDitaxS71 pic.twitter.com/7zZ8GNQC8j — Morris Riedel (@MorrisRiedel) May 26, 2018 Travelling to IEEE MIPRO Conference in Opatija/Croatia for a paper presentation on how modular supercomputing driven by @fzj_jsc & @DEEPprojects is ideal for machine learning & deep...

SIMDAS Industry Relations Examples From Juelich 0

SIMDAS & Industry Relations – Examples from Juelich

SIMDAS & Industry Relations – Examples from Juelich Invited Talk Simulation and Data Science Center of Excellence (SIMDAS) The Cyprus Institute, Nicosia, Cyprus 2018-05-03 [ Event ] [ Slides ~9.18 MB (pdf) ] The talk today on behalf of @fz_juelich to ministery of labour&energy from Cyprus @CyprusInstitute links @EU_Commission plans for target areas of research in supercomputing & artificial intelligence supporting modular supercomputing by @DEEPprojects & @fzj_jsc & @Haskoli_Islands pic.twitter.com/oFvJVrFkcM — Morris Riedel (@MorrisRiedel) May 3, 2018 Looking forward to an interesting industrial relations talk on behalf of @fz_juelich alongside the ministery of labour and ministery of energy from Cyprus...