Morris Riedel

Morris Riedel Remote Sensing 0

Research

Remote Sensing

Remote Sensing Center for Remote Sensing (CRS) at University of Iceland An inter-disciplinary group of researchers that are active in the field of Remote Sensing and Geographic Information Systems at the School of Engineering and Natural Sciences, University of Iceland [ WEBPAGE ] Selected Publications Haut, J.M., Gallardo, J.A., Paoletti, M.E., Cavallaro, G., Plaza, J., Plaza, A., Riedel, M.: Cloud Deep Networks for Hyperspectral Image Analysis, IEEE Transactions on Geoscience and Remote Sensing, PP(99):1-17, 2019 [ JOURNAL ] [ DOI ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] [ MORE ] Cavallaro, G., Riedel, M., Richerzhagen, M., Benediktsson, J., Plaza,...

2019 HPC Course Fall 2019 Course Outline 0

Teaching

HPC – Course Fall 2019

High Performance Computing – Course Fall 2019 Advanced Scientific Computing 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 2019 Lecture 0 – Prologue Slides PDF (9,16 MB) Fully packed room teaching Lecture 0 – Prologue of our High Performance Computing course with ~50 students of @Haskoli_Islands @uni_iceland including Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @helmholtz_de @uisens @helmholtz_ai slides: https://t.co/kyb7Sq31LX pic.twitter.com/VztJLeAFpH — Morris Riedel (@MorrisRiedel) August 27, 2019 Practical Lecture 0.1 – Short Introduction to UNIX & SSH...

DEEP Projects 0

Research

DEEP – Projects

DEEP Projects Series of EU Projects DEEP Projects Web Page The DEEP projects have received funding from the European Union’s Seventh Framework Programme (FP7) for research, technological development and demonstration and the Horion2020 (H2020) funding framework under grant agreement no. FP7-ICT-287530 (DEEP), FP7-ICT-610476 (DEEP-ER) and H2020-FETHPC-754304 (DEEP-EST).     Your browser does not support HTML5 audio + video. Social Media Prof Lippert @Tomtherhymer opens @DEEPprojects review; Well Done received by reviewers thanking our academic & industry partners @MegwareComputer Extoll @Intel_DE & modular #HPC @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @helmholtz_ai project page: https://t.co/LqmoymkHuV pic.twitter.com/IpHHqeqoho — Morris Riedel (@MorrisRiedel) September 18, 2019 Sieh...

Morris Riedel Publications

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...

2019-08-23 Neural Architecture Search With Reinforcement Learning Morris Riedel 0

Talks

Neural Architecture Search with Reinforcement Learning

Neural Architecture Search with Reinforcement Learning Invited Talk 5th International Summer School on Big Data and Machine Learning Technical University of Dresden, Dresden, Germany 2019-08-23 [ Slides ~18.8 MB (pdf) ] [ Event ] Invited talk on #neuralarchitecturesearch & #ReinforcementLearning @ Technical University of Dresden @zih_tud @Sca_DS presenting modular supercomputing & #AI by @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects @helmholtz_ai slides: https://t.co/XFKX07tWOm pic.twitter.com/kQXGZkuY7T — Morris Riedel (@MorrisRiedel) August 23, 2019 Sieh dir diesen Beitrag auf Instagram an Invited talk on #neuralarchitecturesearch & #ReinforcementLearning @ Technical University of Dresden @tudresden ZIH @Sca_DS presenting modular supercomputing & #AI by @forschungszentrum_juelich #julichsupercomputingcenter @haskoli_islands...

2019-08-21 Machine Learning Co-Design of Future HPC Systems Morris Riedel 0

Talks

Machine Learning Co-Design of Future HPC Systems

Machine Learning Co-Design of Future HPC Systems BigBrain Workshop 2019 Seminar with Topic: Artificial Intelligence (AI) Methods and HPC Based Processing Juelich Supercomputing Centre, Forschungszentrum Juelich, Juelich, Germany 2019-08-21 [ Slides ~18.1 MB (pdf) ] Morris Riedel on the complex relationship between Deep Learning, Big Data and Modular Supercomputing at the Big Brain Workshop @HBPHighPerfComp @hbp @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects @helmholtz_ai – https://t.co/2ynAPPBtBw… pic.twitter.com/bA3axk73jq — Thomas Lippert (@Tomtherhymer) August 21, 2019 Presenting with Thomas Lippert at our BigBrain Workshop @BigBrainProject yesterday about #AI methods, #HPC in #neuroscience & modular supercomputing co-design by @fz_juelich @fzj_jsc @Haskoli_Islands @uni_iceland @uisens @DEEPprojects...

Morris Riedel Neural Architecture Search 0

Research

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

Talks

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

Research

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...