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...

Cloud Deep Networks for Hyperspectral Image Analysis 0

Cloud Deep Networks for Hyperspectral Image Analysis

Cloud Deep Networks for Hyperspectral Image Analysis Haut, J.M., Gallardo, J.A., Paoletti, M.E., Cavallaro, G., Plaza, J., Plaza, A., Riedel, M. IEEE Transactions on Geoscience and Remote Sensing, PP(99):1-17, 2019 [ JOURNAL ] [ DOI ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] Abstract: Advances in remote sensing hardware have led to a significantly increased capability for high-quality data acquisition, which allows the collection of remotely sensed images with very high spatial, spectral, and radiometric resolution. This trend calls for the development of new techniques to enhance the way that such unprecedented volumes of data are stored, processed, and analyzed....

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

Introduction to Deep Learning Models Morris Riedel 0

Introduction to Deep Learning Models

Introduction to Deep Learning Models Training Course organized by DEEP-EST Project Juelich Supercomputing Centre, Germany 2019-05-21 – 2019-05-23 [ EVENT ] [Morris Riedel] Lecture 1 – Deep Learning driven by HPC & Jupyter (pdf, ~10,7 MB) [Jenia Jitsev] Lecture 2 – Overview of Deep Learning (pdf, ~33,0 MB) [Morris Riedel] Lecture 3 – Neural Network (pdf, ~14,3 MB) [Morris Riedel] Lecture 4 – Convolutional Neural Network (pdf, ~9,83 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Deep Learning for Remote Sensing & 1D/2D CNNs for Hyperspectral Images Classification (pdf, ~3,86 MB) [Gabriele Cavallaro] Lecture 6 – 3D CNNs for Hyperspectral...

2019-05-10 AI IMPACTS HPC and Applications HIMAP Alumni Morris Riedel 0

Artificial Intelligence Impacts in HPC and Selected Applications

Artificial Intelligence Impacts in HPC and Selected Applications HOECHST International Management Associate Program (HIMAP) Alumni Juelich Supercomputing Centre, Juelich, Germany 2019-05-10 [ Slides ~14.1 MB (pdf) ] HOECHST Int. Management Associate Program (HIMAP) Alumni Visit presenting @helmholtz_ai Artificial Intelligence Cooperation Unit (HAICU), #ON4OFF, #SMITH & Modular Supercomputing by @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands @DEEPprojects – https://t.co/xCDitaxS71 pic.twitter.com/taw3xaaJbr — Morris Riedel (@MorrisRiedel) May 13, 2019

2019-05-06 ON4OFF Projekt Referenzmodell Use Cases Morris Riedel 0

ON4OFF Projekt – Referenzmodell Use Cases

ON4OFF Projekt – Referenzmodell Use Cases ON4OFF Use Cases Workshop Adesso, Essen Germany 2019-05-06 [ Slides ~2.79 MB (pdf) ] #ON4OFF Project @paluno_se @adessoAG @INtelegenceGmbH @fz_juelich ProXperts @ProfHeinemann discuss virtual smell & #Retail #MachineLearning reference model for @PieperBeauty via Modular HPC by @fzj_jsc @Haskoli_Islands @uisens @uni_iceland @DEEPprojects – https://t.co/xCDitaxS71 pic.twitter.com/Tgx30CgKVN — Morris Riedel (@MorrisRiedel) May 6, 2019

2019-04-11 JARA-CSD CST Deep Learning Selected Applications Morris Riedel 0

JARA-CSD CST Deep Learning – Selected Applications

JARA-CSD CST Deep Learning – Selected Applications First JARA-CSD Workshop, AVT Building, RWTH Aachen University Aachen, Germany 2019-04-11 [ Slides ~9.96 MB (pdf) ] Talk at 1st Juelich Aachen Research Alliance (JARA) – Center for Simulation and Data Sciences (CSD) Workshop about #DeepLearning #SMITH #ON4OFF & Modular Supercomputing by @DEEPprojects @fzj_jsc @fz_juelich @uisens @uni_iceland @Haskoli_Islands – slides: https://t.co/xCDitaxS71 pic.twitter.com/UN3btX2HoL — Morris Riedel (@MorrisRiedel) April 15, 2019