Markus Götz

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Prof. Dr.-Ing. Morris RiedelProfessor of High Performance Computing & Machine Learning, Forschungszentrum Juelich & UoIcelandVerified email at fz-juelich.de
Gabriele CavallaroForschungszentrum Jülich and University of IcelandVerified email at fz-juelich.de
Daniel CoquelinKarlsruhe Institute of TechnologyVerified email at kit.edu
Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandVerified email at hi.is
Charlotte DebusJunior Group Leader, Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Matthias BookUniversity of IcelandVerified email at hi.is
Kai KrajsekJülich Supercomputing Centre (JSC) Forschungszentrum Jülich GmbHVerified email at fz-juelich.de
Alexander SchugNIC Group Leader FZ Jülich, Prof. University of Duisburg-EssenVerified email at fz-juelich.de
Marie WeielPostdoctoral Researcher, Karlsruhe Institute of TechnologyVerified email at kit.edu
Hartwig AnztKarlsruhe Institute of TechnologyVerified email at kit.edu
James KahnKarlsruhe Institute of TechnologyVerified email at kit.edu
Kristján JónassonProfessor, Faculty of Industrial Engineering, Mechanical Engineering & Computer ScienceVerified email at hi.is
Thomas LippertProfessor for Computer Science, University Frankfurt and FIAS, Director Jülich Supercomputing CentreVerified email at fz-juelich.de
Oskar TaubertKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
Ralf FlocaMedical Image Computing, German Cancer Research Center (DKFZ)Verified email at dkfz-heidelberg.de
Thierry GéraudProfessor at EPITAVerified email at lrde.epita.fr
Fabian IsenseeHIP Applied Computer Vision Lab, Division of Medical Image Computing, German Cancer Research CenterVerified email at dkfz-heidelberg.de
Achim BasermannVerified email at dlr.de
Henrike ScholzUniversity Köln, University Würzburg, University of San FranciscoVerified email at uni-koeln.de
Rocco SedonaPhD student, University of Iceland, Forschungszentrum JülichVerified email at fz-juelich.de

Markus Götz

Karlsruhe Institute of Technology (KIT), Helmholtz AI

Verified email at kit.edu

Artificial Intelligence Machine Learning AI Engineering High Performance Computing Scalable AI


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HPDBSCAN: highly parallel DBSCAN M Götz, C Bodenstein, M Riedel Proceedings of the workshop on machine learning in high-performance …, 2015	61	2015
Machine Learning-Aided Numerical Linear Algebra: Convolutional Neural Networks for the Efficient Preconditioner Generation M Götz, H Anzt 2018 IEEE/ACM 9th Workshop on Latest Advances in Scalable Algorithms for …, 2018	24	2018
The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks J Lange, G Cavallaro, M Götz, E Erlingsson, M Riedel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018	21	2018
Smart data analytics methods for remote sensing applications G Cavallaro, M Riedel, JA Benediktsson, M Goetz, T Runarsson, ... Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International …, 2014	21	2014
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions M Weiel, M Götz, A Klein, D Coquelin, R Floca, A Schug Nature Machine Intelligence 3 (8), 727-734, 2021	19	2021
On scalable data mining techniques for earth science M Götz, M Richerzhagen, C Bodenstein, G Cavallaro, P Glock, M Riedel, ... Procedia computer science 51, 2188-2197, 2015	19	2015
Parallel computation of component trees on distributed memory machines M Götz, G Cavallaro, T Géraud, M Book, M Riedel IEEE transactions on parallel and distributed systems 29 (11), 2582-2598, 2018	16	2018
Scalable developments for big data analytics in remote sensing G Cavallaro, M Riedel, C Bodenstein, P Glock, M Richerzhagen, M Götz, ... 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015	8	2015
HeAT--a Distributed and GPU-accelerated Tensor Framework for Data Analytics M Götz, D Coquelin, C Debus, K Krajsek, C Comito, P Knechtges, ... arXiv preprint arXiv:2007.13552, 2020	6	2020
The Helmholtz analytics toolkit (heat): a scientific big data library for hpc K Krajsek, C Comito, M Götz, B Hagemeier, P Knechtges, M Siggel Extreme data workshop, 2018	6	2018
Automatic object detection using dbscan for counting intoxicated flies in the florida assay C Bodenstein, M Götz, A Jansen, H Scholz, M Riedel 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016	6	2016
Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems D Coquelin, R Sedona, M Riedel, M Götz 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1587 …, 2021	5	2021
Supporting Software Engineering Practices in the Development of Data-Intensive HPC Applications with the JuML Framework M Götz, M Book, C Bodenstein, M Riedel Proceedings of the 1st International Workshop on Software Engineering for …, 2017	5	2017
Scalable and parallel machine learning algorithms for statistical data mining-Practice & experience M Riedel, M Götz, M Richerzhagen, P Glock, C Bodenstein, AS Memon, ... 2015 38th International Convention on Information and Communication …, 2015	5	2015
HyDe: The first open-source, Python-based, GPU-accelerated hyperspectral denoising package D Coquelin, B Rasti, M Götz, P Ghamisi, R Gloaguen, A Streit 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2022	4	2022
Facilitating collaboration in high-performance computing projects with an interaction room M Book, M Riedel, H Neukirchen, M Götz Proceedings of the 4th ACM SIGPLAN International Workshop on Software …, 2017	4	2017
On parallel and scalable classification and clustering techniques for earth science datasets M Goetz, M Richerzhagen, G Cavallaro, C Bodenstein, P Glock, M Riedel, ... 6th Workshop on Data Mining in Earth System Science, International …, 2015	4	2015
A computational workflow for interdisciplinary deep learning projects utilizing bwHPC infrastructure MP Schilling, O Neumann, T Scherr, H Cui, AA Popova, PA Levkin, ... Proceedings of the 7th bwHPC Symposium 7, 69-74, 2022	3	2022
Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning Y Funk, M Götz, H Anzt Proceedings of the 2022 SIAM Conference on Parallel Processing for …, 2022	3	2022
Accelerating neural network training with distributed asynchronous and selective optimization (DASO) D Coquelin, C Debus, M Götz, F von der Lehr, J Kahn, M Siggel, A Streit Journal of Big Data 9 (1), 1-18, 2022	2	2022

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