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) ]
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) ]
Deep Learning with Python
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) ]
Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications
Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications Invited Talk International Conference on: Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing University of Bonn, Germany 2018-04-05 [ Event ] [ Slides ~6.99 MB (pdf) ]
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...
On Using Array Databases for Machine Learning and Earth Science
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) ]
Deep Learning vs. Traditional Learning in Remote Sensing
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) ]
Talks – Overview
2018 Modular Supercomputing Design supporting Machine Learning Applications IEEE MIPRO Conference 2018 Opatija, Croatia 2018-05-24 [ More ] SIMDAS & Industry Relations – Examples from Juelich Invited Talk Simulation and Data Science Center of Excellence (SIMDAS) The Cyprus Institute, Nicosia, Cyprus 2018-05-03 [ More ] Deep Learning with Python Invited Talk Joint Laboratory for Extreme Scale Computing Barcelona Supercomputing Centre, Barcelona, Spain 2018-04-19 [ More ] Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications Invited Talk International Conference on: Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing University of Bonn, Germany 2018-04-05 [ More ]...
DEEP-EST Tutorial: Parallel and Scalable Machine Learning
DEEP-EST Tutorial: Parallel and Scalable Machine Learning Tutorial under the umbrella of the DEEP-EST EU Project Juelich Supercomputing Centre, Germany 2018-03-06 – 2018-03-08 [ Event ] Abstract: The course offers basics of analyzing data with machine learning and data mining algorithms in order to understand foundations of learning from large quantities of data. This course is especially oriented towards beginners that have no previous knowledge of machine learning techniques. The course consists of general methods for data analysis in order to understand clustering, classification, and regression. This includes a thorough discussion of test datasets, training datasets, and validation datasets required...
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 [In Progress] Design and Evaluation of a Joint Model of Service Access including Service Discovery and Federated Identity Management in e-infrastructures Ahmed Shiraz Memon, Doctoral Thesis University of Iceland, School of Engineering and Natural Sciences (SENS), Iceland [In Progress] Automated Data Processing and...