Reuter, K.; Compostella, M.; Rampp, M.: The future is now: Scientific visualization services for the Max Planck Society. CECAM Workshop on Emerging Technologies in Scientific Data Visualisation, Pisa, Italy (2018)

Reuter, K.; Stanisic, L.: Performance monitoring of HPC systems at the MPCDF. 35. DV-Treffen der Max-Planck-Institute, Berlin, Germany (2018)

Zastrow, T.: Docker und Kubernetes. 35. DV-Treffen der Max-Planck-Institute, Berlin, Germany (2018)

Di Bernardo, G.: Big Data analytics at the MPCDF: GPU crystallography with Python. Europhython 2017 , Rimini, Italy (submitted)

Kůs, P.; Lederer, H.; Marek, A.: GPU optimization of large-scale eigenvalue solver. ENUMATH 2017 , Voss, Norway (submitted)

Lederer, H.: Algorithmische Erweiterungen und Optimierungen zum Eigenwert-Löser ELPA (ELPA-AEO). 7. HPC-Status-Konferenz der Gauß-Allianz, Stuttgart, Germany (submitted)

Compostella, M.; Rampp, M.: Workshop on scientific visualization and Octopus development. Workshop on scientific visualization and Octopus development (Max Planck Institute for the Structure and Dynamics of Matter), Hamburg (2016)

Rampp, M.: Introduction to hybrid parallelization concepts. FHI-aims Users' and Developers' Workshop, Garching (2016)

Rampp, M.: HPC Architectures 2016-2019: Technical overview and early assessment of Intel Xeon Phi and IBM/Nvidia OpenPower. IPP Theory Workshop, Schloß Ringberg (2016)

Rampp, M.: High-performance computing: technological trends and programming challenges. 12th International School for Space Simulations (ISSS-12), Prague (2015)

Rampp, M.: Visualization of HPC simulation data. 12th International School for Space Simulations (ISSS-12), Prague (2015)

Rampp, M.: High-performance computing: technological trends and programming challenges. Guest lecture in "Computational Astrophysics" (E. Mueller & H.Th. Janka), München, TU (2015)

Rampp, M.; Reuter, K.: Visualization Infrastructure and Services at the MPCDF. Interdisciplinary Cluster Workshop on Visualization (Excellence Cluster "Universe"), Garching (2015)

Ritz, R.; Beck, K.; Zastrow, T.: German node of the Research Data Alliance (RDA). BigMax Workshop 2018 on Big-Data-Driven Materials Science, Espoo, Finnland (2019)

Fischer, R.; Bock, A.; Burckhart, A.; Denk, S. S.; Dunne, M.; Ford, O.; Giannone, L.; Gude, A.; Maraschek, M.; McDermott, R. M. et al.; Mlynek, A.; Poli, E.; Rampp, M.; Rittich, D.; Weiland, M.; Willensdorfer, M.; ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society: Fast and reliable reconstruction of the current distribution at ASDEX Upgrade. 45th EPS Conference on Plasma Physics, Prague (submitted)

Katnagallu, S.; Di Bernardo, G.; Stephenson, L. ..; Rampp, M.; Geuser, F. D.; Raabe, D.; B.Gault: Automated calibration of atom probe reconstructions using GPU based Fourier Analysis in a Python Workbench. BigMax Workshop 2018 on Big-Data-Driven Materials Science, Kloster Irsee, Germany (2018)

Konrad, U.; Förstner, K.; Reetz, J.; Wannemacher, K.; Kett, J.; Mannseicher, F.: Digital services for science – where is the journey heading? Zenodo (2021)

Konrad, U.; Förstner, K.; Reetz, J.; Wannemacher, K.; Kett, J.; Mannseicher, F.: Digitale Dienste für die Wissenschaft - wohin geht die Reise? Zenodo (2020)

Deák, P.; Han, M.; Lorke, M.; Meisam, F. T.; Frauenheim, T.: Intrinsic defects of GaSe. Journal of Physics: Condensed Matter 32 (28), 285503 (2020)

Reuter, K.; Stanisic, L.: MPCDF HPC Performance Monitoring System: Enabling Insight via Job-Specific Analysis. (submitted)