Talks

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...

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...

Deep Learning with Python Invited Talk Joint Laboratory for Extreme-Scale Computing (JLESC) 8th Workshop Barcelona Supercomputing Centre, Barcelona, Spain 2018-04-19 [ Event ] [ Slides ~6.53 MB (pdf) ] Highly interesting machine & deep learning session at @BSC_CNS as part of the Joint Laboratory for Extreme-Scale Computing (JLECS) workshop with many participants & colleagues discussing modular supercomputing&deep learning driven by @DEEPprojects, @fzj_jsc, and @Haskoli_Islands pic.twitter.com/rrU9xOPeTZ — Morris Riedel (@MorrisRiedel) April 19, 2018 Travelling to @BSC_CNS for an interesting session about parallel & scalable machine & deep learning as part of the Joint Laboratory for Extreme-Scale Computing (JLECS) looking forward to...

Poster – Enhancing Deep Learning towards Exascale with the DEEP-EST Modular Supercomputer Architecture Erlingsson, E., Cavallaro, G., Riedel, M., Neukirchen, H., Enhancing Deep Learning towards Exascale with the DEEP-EST Modular Supercomputer Architecture, The Exascale Applications and Software Conference, April 17 – 19, 2018, Edinbourgh, United Kingdom [ EVENT ] [ PDF (~ 1,83 MB) ] Social Media Today I'll be presenting how we'll use the @DEEPprojects modular supercomputing architecture to enhance deep learning #EASC18 @MorrisRiedel pic.twitter.com/JfveJWHV9l — Ernir Erlingsson (@ernire) April 17, 2018

On Using Array Databases for Machine Learning and Earth Science Research Data Alliance Working Group Array Database Assessment – Adoption Plans Research Data Alliance Plenary Meeting, Berlin, Germany 2018-03-23 [ Event ] [ Slides ~2.97 MB (pdf) ] Finished final day of the @resdatall RDA Plenary meeting co-organized by @RDA_Europe, @helmholtz_de & @helmholtz_os with a talk on using innovative array databases with machine learning driven by @DEEPprojects & @fzj_jsc in WG Array DB Assessment – spin-off of the IG Big Data pic.twitter.com/1HN3FC23wE — Morris Riedel (@MorrisRiedel) March 24, 2018

Deep Learning vs. Traditional Learning in Remote Sensing Research Data Alliance Interest Group GeoSpatial Update Research Data Alliance Plenary Meeting, Berlin, Germany 2018-03-22 [ Event ] [ Slides ~3.04 MB (pdf) ] Finished Day Two of the @resdatall RDA Plenary meeting co-organized by @RDA_Europe, @helmholtz_de & @helmholtz_os with a talk on Deep Learning vs. Traditional Learning driven by @DEEPprojects & @fzj_jsc in the IG GeoSpatial session & meeting colleagues @CyprusInstitute @zih_tud pic.twitter.com/iOyWJNTr97 — Morris Riedel (@MorrisRiedel) March 23, 2018