Publications

Li Zhong, Oleksandr Shcherbakov, Dennis Hoppe, Michael Resch, and Bastian Koller. Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems. In Gintautas Dzemyda, Jolita Bernatavicien\.e, and Janusz Kacprzyk (Eds.), Data Science in Applications, 233--252, Springer International Publishing, Cham, 2023. [PUMA: myown hlrs] URL

Naweiluo Zhou, Huan Zhou, and Dennis Hoppe. Containerisation for High Performance Computing Systems: Survey and Prospects. IEEE Transactions on Software Engineering, (49)4:2722-2740, April 2023. [PUMA: myown hlrs]

Ilias Gialampoukidis, Stelios Andreadis, Nick Pantelidis, Sameed Hayat, Li Zhong, Marios Bakratsas, Dennis Hoppe, Stefanos Vrochidis, and Ioannis Kompatsiaris. Parallel DBSCAN-Martingale Estimation of the Number of Concepts for Automatic Satellite Image Clustering. International Conference on Multimedia Modeling, 95--106, 2022. [PUMA: bigdata myown hlrs]

Tianbai Chen, Li Zhong, Naweiluo Zhou, and Dennis Hoppe. Catch Weight Prediction for Multi-Species Fishing using Artificial Neural Networks. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 1545-1552, 2021. [PUMA: bigdata myown hlrs]

Sonja Schimmler, Thomas Bönisch, Martin Thomas Horsch, Taras Petrenko, Björn Schembera, Volodymyr Kushnarenko, Bianca Wentzel, Fabian Kirstein, Harald Viemann, Martin Holeňa, and David Linke. NFDI4Cat: Local and overarching data infrastructures. In Vincent Heuveline, and Nina Bisheh (Eds.), E-Science-Tage 2021: Share Your Research Data, heiBOOKS, 2022. [PUMA: myown metadata hlrs cmcs data catalysis hpc rdm nfdi4cat nfdi] URL

Tibor Döpper, Bärbel Große-Wöhrmann, Doris Lindner, Darko Milakovic, Jutta Oexle, Michael M. Resch, Oliver Scheel, Sven Slotosch, and Leon Widmaier. Expanding HLRS Academic HPC Simulation Training Programs to More Target Groups. In Steven I. Gordon (Eds.), The Journal of Computational Science Education, (12)3:13--26, December 2021. [PUMA: myown hlrs hpc] URL

Li Zhong, Dennis Hoppe, Naweiluo Zhou, and Oleksandr Shcherbakov. Hybrid Workflow of Simulation and Deep Learning on HPC: A Case Study for Material Behavior Determination. 2nd Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S) held in conjunction with IEEE Cluster 2021, September 2021. [PUMA: myown hlrs] URL

N Zhou, L Zhong, D Hoppe, B Pejak, O Marko, J Cardona, M Czerkawski, I Andonovic, C Michie, C Tachtatzis, E Alexakis, P Mavrepis, D Kyriazis, and M Pospieszny. CYBELE: A Hybrid Architecture for HPC and Big Data for AI Applications in Agriculture. In Olivier Terzo, and Jan Martinovic (Eds.), CRC Press, 2022. [PUMA: myown hlrs]

Naweiluo Zhou, Yiannis Georgiou, Marcin Pospieszny, Li Zhong, Huan Zhou, Christoph Niethammer, Branislav Pejak, Oskar Marko, and Dennis Hoppe. Container Orchestration on HPC Systems through Kubernetes. Journal of Cloud Computing: Advances, Systems and Applications, (10)1:1-14, 2021. [PUMA: myown hlrs]

Dennis Hoppe. Trends and Emerging Technologies in AI. In Michael Resch (Eds.), Sustained Simulation Performance 2019 and 2020: Proceedings of the Joint Workshop on Sustained Simulation Performance, University of Stuttgart (HLRS) and Tohoku University, 2019 and 2020, 163-181, Springer International Publishing, 2021. [PUMA: myown hlrs]

Yiannis Georgiou, Naweiluo Zhou, Li Zhong, Dennis Hoppe, Marcin Pospieszny, Nikela Papadopoulou, Kostis Nikas, Orestis Lagkas Nikolos, Pavlos Kranas, Sophia Karagiorgou, Eric Pascolo, Michael Mercier, and Pedro Velho. Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers. 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC'20), Springer LNCS, 2020. [PUMA: myown hlrs]

Dennis Hoppe, Li Zhong, Stefan Andersson, and Diana Moise. On the Detection and Interpretation of Performance Variations of HPC Applications. Sustained Simulation Performance 2018 and 2019, 41--56, Springer, 2020. [PUMA: myown hlrs]

Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, F Javier Nieto De Santos, John Hanley, Milana Vucković, Mark Kröll, Bernhard Geiger, and others. Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources. International Conference on Computational Science, 410--424, 2020. [PUMA: myown hlrs]

Stefan Zellmann, Martin Aumüller, Nathan Marshak, and Ingo Wald. High-Quality Rendering of Glyphs Using Hardware-Accelerated Ray Tracing. In Steffen Frey, Jian Huang, and Filip Sadlo (Eds.), Eurographics Symposium on Parallel Graphics and Visualization, The Eurographics Association, 2020. [PUMA: myown hlrs] URL

Martin Aumüller. The Architecture of Vistle, a Scalable Distributed Visualization System.. In Stefano Markidis, and Erwin Laure (Eds.), EASC, (8759):141-147, Springer, 2014. [PUMA: myown hlrs] URL

Florian Niebling, Andreas Kopecki, and Martin Aumüller. Integrated Simulation Workflows in Computer Aided Engineering on HPC Resources.. In Koen De Bosschere, Erik H. D'Hollander, Gerhard R. Joubert, David A. Padua, Frans J. Peters, and Mark Sawyer (Eds.), PARCO, (22):565-572, IOS Press, 2011. [PUMA: myown hlrs] URL

Craig A. Stewart, Rainer Keller, Richard Repasky, Matthias Hess, David Hart, Matthias S. Müller, Ray Sheppard, Uwe Wössner, Martin Aumüller, Huian Li, Donald K. Berry, and John Colbourne. A Global Grid for Analysis of Arthropod Evolution.. In Rajkumar Buyya (Eds.), GRID, 328-337, IEEE Computer Society, 2004. [PUMA: myown hlrs] URL

Natalia Melnikova, Stepan Orlov, Nikolay Shabrov, Vlad Kiev, Aleksey Kuzin, Michael Resch, Uwe Woessner, and Martin Aumüller. CAVE 3D: Software Extensions for Scientific Visualization of Large-scale Models. Procedia Computer Science, (66):679 - 688, 2015. [PUMA: myown hlrs] URL

Martin Aumüller. Hybrid Remote Visualization in Immersive Virtual Environments with Vistle. In Hank Childs, and Steffen Frey (Eds.), Eurographics Symposium on Parallel Graphics and Visualization, The Eurographics Association, 2019. [PUMA: myown hlrs] URL

Ville Ahlgren, Stefan Andersson, Jim Brandt, Nicholas P. Cardo, Sudheer Chunduri, Jeremy Enos, Parks Fields, Ann Gentile, Richard Gerber, Michael Gienger, Joe Greenseid, Annette Greiner, Bilel Hadri, Yun (Helen) He, Dennis Hoppe, Urpo Kaila, Kaki Kelly, Mark Klein, Alex Kristiansen, Steve Leak, Mike Mason, Kevin Pedretti, Jean-Guillaume Piccinali, Jason Repik, Jim Rogers, Susanna Salminen, Mike Showerman, Cary Whitney, and Jim Williams. Large-Scale System Monitoring Experiences and Recommendations. Workshop on Monitoring and Analysis for High Performance Computing Systems Plus Applications (HPCMASPA '18), Belfast, September 2018. [PUMA: myown hlrs]

Guido Vingione, Gabriella Scarpino, Laurence Marzell, Tudor Pettengell, Ilias Gialampoukidis, Stelios Andreadis, Stefanos Vrochidis, Ioannis Kompatsiaris, Bernard Valentin, Leslie Gale, Woo-Kyun Lee, Wona Lee, Michael Gienger, Dennis Hoppe, Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes, Francesco Baruffi, Michele Ferri, Hoonjoo Yoon, Ari Karppinen, and Ari-Matti Harri. EOPEN: Open Interoperable Platform for Unified Access and Analysis of Earth Observation Data. Conference on Big Data from Space (BiDS'19), Munich, February 2019. [PUMA: bigdata myown hlrs] URL

Ville Ahlgren, Stefan Andersson, Jim Brandt, Nicholas Cardo, Sudheer Chunduri, Jeremy Enos, Parks Fields, Ann Gentile, Richard Gerber, Joe Greenseid, Annette Greiner, Bilel Hadri, Yun He, Dennis Hoppe, Urpo Kaila, Kaki Klein, KellyMark, Alex Kristiansen, Steve Leak, Mike Mason, Kevin Pedretti, Jean-Guillaume Piccinali, Jason Repik, Jim Rogers, Susanna Salminen, Mike Showerman, Cary Whitney, and Jim William. Cray System Monitoring: Successes, Requirements, and Priorities. In Proceedings of the Cray User Group 2018, Stockholm, May 2018. [PUMA: bigdata myown hlrs]

Guide Vingione, Laurence Marzell, Enrico Cadau, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, Bernard Valentin, Matthieu Melcot, Leslie Gale, Woo-Kyun Lee, Seong-Woo Jeon, Wona Lee, Michael Gienger, Dennis Hoppe, Charalampos Kontoes, Ioannis Papoutsis, Michele Ferri, Francesco Baruffi, Jaeyoung Yoon, Hoonjoo Yoon, Ari Karppinen, and Ari-Matti Harri. The H2020-EO EOPEN Project. Poster at the Conference on Big Data from Space (BiDS17), Toulouse, November 2017. [PUMA: bigdata myown hlrs] URL

Dennis Hoppe, Michael Gienger, Thomas Bönisch, Oleksandr Shcherbakov, and Diana Moise. Towards Seamless Integration of Data Analytics into Existing HPC Infrastructures. In Proceedings of the Cray User Group (CUG), Redmond, WA, USA, May 2017. [PUMA: bigdata myown hlrs] URL

Dennis Hoppe, Oleksandr Shcherbakov, Michael Gienger, Thomas Bönisch, and Bastian Koller. CATALYST: The Next Generation of Big Data Analytics at HLRS. Innovatives Supercomputing in Deutschland (InSiDE), (Spring Issue)2017. [PUMA: bigdata myown hlrs] URL

Dennis Hoppe, Michael Gienger, and Bastian Koller. Bringing eScience to the Cloud with PaaSage. Innovatives Supercomputing in Deutschland (InSiDE), (Spring Issue)2017. [PUMA: myown hlrs fp7] URL

Dennis Hoppe, Dmitry Khabi, Fangli Pi, Uwe Küster, Michael Gienger, and Bastian Koller. EXCESS Project Presents Energy-Aware Software Stack. Innovatives Supercomputing in Deutschland (InSiDE), (Spring Issue)2017. [PUMA: myown hlrs excess] URL

Bastian Koller, Michael Gienger, Nico Struckmann, and Jochen Buchholz. Towards an Environment to Deliver High Performance Computing to Small and Medium Enterprises. Sustained Simulation Performance 2015: Proceedings of the Joint Workshop on Sustained Simulation Performance, 41-50, Springer, 2015. [PUMA: HLRS Clouds SME hpc Fortissimo]

Andreas Kaminski, Björn Schembera, Michael Resch, and Uwe Küster. Simulation als List. In Gerhard Gamm, Petra Gehring, Christoph Hubig, Andreas Kaminski, and Alfred Nordmann (Eds.), Jahrbuch Technikphilosophie, (2):93–121, Zürich, Berlin, 2016. [PUMA: technikphilosophie hlrs philosophie Simulation Informatik technik Computersimulation Informationstechnik] URL

Tobias Loose, Martin Bernreuther, Bärbel Große-Wöhrmann, Jörg Hertzer, and Uli Göhner. High Performance Computing Welding Analysis with DynaWeld and Parallelized LS-DYNA Solvers. 14. LS-DYNA Forum 2016, Bamberg, 89-90, October 2016. [PUMA: myown hlrs hpc prace-shape]

Tobias Loose, Martin Bernreuther, Bärbel Große-Wöhrmann, Jörg Hertzer, and Uli Göhner. High Performance Computing Welding Analysis with DynaWeld and Parallelized LS-DYNA Solvers. In Jörg Hildebrand, Tobias Loose, and Michael Reich (Eds.), Simulationsforum 2016 Schweißen und Wärmebehandlung, 134-147, 2016. [PUMA: myown welding hlrs ls-dyna hpc prace-shape] URL

Tobias Loose, Martin Bernreuther, Bärbel Große-Wöhrmann, Jörg Hertzer, and Uli Göhner. Höchstleistungsrechnung für die Schweißsimulation mit DynaWeld und den parallelisierten LS-DYNA Solvern. In Österreichische Gesellschaft für Schweißtechnik (Eds.), Schweiß- und Prüftechnik, 204-206, 11-12 2016. [PUMA: myown welding hlrs hpc prace-shape]

Maciej Malawski, Bartosz Balis, Kamil Figiela, Maciej Pawlik, Marian Bubak, Dariusz Król, Renata Słota, Michał Orzechowski, Jacek Kitowski, and Dennis Hoppe. Molecular Dynamics with HyperFlow and Scalarm on the PaaSage Platform. 5th European Conference on Service-Oriented and Cloud Computing (ESOCC), Vienna, Austria, September 2016. [PUMA: myown hlrs paasage fp7]

Dennis Hoppe, Yosandra Sandoval, and Michael Gienger. ATOM: A Near-Real Time Monitoring Framework for HPC and Embedded Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: myown monitoring hlrs excess atom]

Yosandra Sandoval, Dennis Hoppe, Dmitry Khabi, Michael Gienger, Christoph Kessler, Lu Li, Usman Dastgeer, Phuong Ha, Ibrahim Umar, Vi Tran, Anders Gidenstam, Philippas Tsigas, Paul Renaud-Goud, and Ivan Walulya. EXCESS: Execution Models for Energy-Efficient Computing Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: myown hlrs excess fp7]

Pavel Skvortsov, Dennis Hoppe, Axel Tenschert, and Michael Gienger. Monitoring in the Clouds: Comparison of ECO2Clouds and EXCESS Monitoring Approaches.. 2nd International Workshop on Dynamic Resource Allocation and Management in Embedded, High Performance and Cloud Computing (DREAMCloud '16), January 2016. [PUMA: cloud myown monitoring hlrs] URL

Tobias Loose, Martin Bernreuther, Bärbel Große-Wöhrmann, Jörg Hertzer, and Uli Göhner. SHAPE Project Ingenieurbüro Tobias Loose: HPCWelding: Parallelized Welding Analysis with LS-DYNA. 2016. [PUMA: myown Welding hlrs LS-DYNA hpc prace-shape] URL

Pavel Skvortsov, Vadim Raskin, Oleg Tsemaylo, and Michael Gienger. Implementation of Hybrid Cloud Storage Based on CDMI Protocol. eChallenges e-2015 Conference Proceedings, Paul Cunningham and Miriam Cunningham, November 2015. [PUMA: myown Storage CDMI hlrs Distributed Management Software]

Pavel Skvortsov, Dennis Hoppe, Axel Tenschert, and Michael Gienger. Monitoring in the Clouds: Comparison of ECO2Clouds and EXCESS Monitoring Approaches. International Workshop on Dynamic Resource Allocation and Management in Embedded, High Performance and Cloud Computing in conjunction with the 11th International Conference on High-Performance and Embedded Architectures and Compilers (HiPEAC 2016), January 2016. [PUMA: cloud myown monitoring hlrs]

Andreas Ruopp, Philipp Daus, Frank Biskup, and Stefan Riedelbauch. Performance prediction of a tidal in-stream current energy converter and site assessment next to Jindo, South Korea. Journal of Renewable and Sustainable Energy, (7)62015. [PUMA: turbine myown hlrs symmetrical simulation tidal prototype validation] URL

Michael Resch, and Andreas Wierse. Porsche: An Industrial Use Case. In Anwar Osseyran, and Merle E. Giles (Eds.), Industrial Applications of High Performance Computing: Best Global Practices, 243 – 246, Chapman & Hall / CRC, 2015. [PUMA: HLRS HPC] URL

Dmitry Khabi, and Uwe Küster. Power Consumption of Kernel Operations. In Michael M. Resch, Wolfgang Bez, Erich Focht, Hiroaki Kobayashi, and Yevgeniya Kovalenko (Eds.), Sustained Simulation Performance 2013, 27-45, Springer, 31 06 2013. [PUMA: QR energy myown hlrs cpu power]

A. Kipp, Jia Liu, Tao Jiang, D. Khabi, Y. Kovalenko, L. Schubert, M. vor dem Berge, and W. Christmann. Approach towards an energy-aware and energy-efficient high performance computing environment. Intelligent Computer Communication and Processing (ICCP), 2011 IEEE International Conference on, 493 - 499, IEEE, Cluj-Napoca, Aug 25, 2011. [PUMA: energy myown hlrs power hpc]

Yosandra Sandoval, Dennis Hoppe, Dmitry Khabi, Michael Gienger, Christoph Kessler, Lu Li, Usman Dastgeer, Phuong Ha, Ibrahim Umar, Vi Tran, Anders Gidenstam, Philippas Tsigas, Paul Renaud-Goud, and Ivan Walulya. EXCESS: Execution Models for Energy-Efficient Computing Systems. PODC, (Energy Efficient Distributed and Parallel Computing)2015. [PUMA: myown hlrs]

Björn Dick, Andreas Vogel, Dmitry Khabi, Martin Rupp, Uwe Küster, and Gabriel Wittum. Utilization of empirically determined energy-optimal CPU-frequencies in a numerical simulation code. Computing and Visualization in Science, (17)2:89-97, Springer Berlin Heidelberg, 2015. [PUMA: myown hlrs] URL

C. Niethammer, D. Khabi, H. Zhou, V. Marjanovic, and J. Gracia. Impact of Late-Arrivals on MPI Collective Operations. INFOCOMP 2015, 2015. [PUMA: myown hlrs]

Björn Dick, Andreas Vogel, Dmitry Khabi, Martin Rupp, Uwe Küster, and Gabriel Wittum. Utilization of empirically determined energy-optimal CPU-frequencies in a numerical simulation code. Computing and Visualization in Science, (17)2:89-97, Springer Berlin Heidelberg, 2015. [PUMA: HLRS Energy empirical DVFS] URL

A Ruopp, A Ruprecht, S Riedelbauch, G Arnaud, and I Hamad. Development of a hydro kinetic river turbine with simulation and operational measurement results in comparison. IOP Conference Series: Earth and Environmental Science, (22)6:062002, 2014. [PUMA: turbine development hlrs hydro kinetic prototype] URL

P. Daus, A. Ruopp, F. Biskup, and R. Arlitt. Performance prediction of a tidal in-stream current energy converter. 3rd IAHR Europe Congress, Book of Proceedings, 2014, Porto -Portugal, 14-16 April 2014. [PUMA: Performance hlrs Assessment Simulation Tidal Turbines Energy Current]

A. Ruopp, and P. Daus. Simulation von Gezeitenströmungen zur Standortanalyse und Bestimmung vorhandener Potenziale. Wasserwirtschaft, (103)10:54 - 57, 2013. [PUMA: Gezeitensimulation hlrs EMEC Gezeitenpotenzial]