TY - JOUR A1 - Enke, Harry A1 - Steinmetz, Matthias A1 - Adorf, Hans-Martin A1 - Beck-Ratzka, Alexander A1 - Breitling, Frank A1 - Brüsemeister, Thomas A1 - Carlson, Arthur A1 - Ensslin, Torsten A1 - Högqvist, Mikael A1 - Nickelt, Iliya A1 - Radke, Thomas A1 - Reinefeld, Alexander A1 - Reiser, Angelika A1 - Scholl, Tobias A1 - Spurzem, Rainer A1 - Steinacker, Jürgen A1 - Voges, Wolfgang A1 - Wambsganß, Joachim A1 - White, Steve T1 - AstroGrid-D: Grid technology for astronomical science JF - New Astronomy Y1 - 2011 UR - http://www.sciencedirect.com/science/article/pii/S1384107610000837 U6 - https://doi.org/10.1016/j.newast.2010.07.005 VL - 16 IS - 2 SP - 79 EP - 93 ER - TY - CHAP A1 - Allen, Gabrielle A1 - Benger, Werner A1 - Dramlitsch, Thomas A1 - Goodale, Tom A1 - Hege, Hans-Christian A1 - Lanfermann, Gerd A1 - Merzky, André A1 - Radke, Thomas A1 - Seidel, Edward ED - Sakellariou, Rizos ED - Keane, Jon ED - Gurd, John ED - Freeman, Len T1 - Cactus Grid Computing: Review of Current Devlopment T2 - Proceedings of Euro-Par 2001: 7th International Euro-Par Conference on Parallel Processing Y1 - 2001 U6 - https://doi.org/10.1007/3-540-44681-8_115 VL - 2150 SP - 817 EP - 824 PB - Springer Verlag, Berlin Heidelberg 2001 ER - TY - CHAP A1 - Enke, Harry A1 - Steinmetz, Matthias A1 - Radke, Thomas A1 - Reiser, Angelika A1 - Röblitz, Thomas A1 - Högqvist, Mikael T1 - AstroGrid-D: Enhancing Astronomic Science with Grid Technology T2 - German e-Science Conference Y1 - 2007 UR - http://edoc.mpg.de/316645 PB - Max Planck Digital Library ER - TY - CHAP A1 - Allen, Gabrielle A1 - Dramlitsch, Thomas A1 - Goodale, Tom A1 - Lanfermann, Gerd A1 - Radke, Thomas A1 - Seidel, Edward A1 - Kielmann, Thilo A1 - Verstoep, Kees A1 - Balaton, Zoltán A1 - Kacsuk, Péter A1 - Szalai, Ferenc A1 - Gehring, Jörn A1 - Keller, Axel A1 - Streit, Achim A1 - Matyska, Ludek A1 - Ruda, Miroslav A1 - Krenek, Ales A1 - Knipp, Harald A1 - Merzky, André A1 - Reinefeld, Alexander A1 - Schintke, Florian A1 - Ludwiczak, Bogdan A1 - Nabrzyski, Jarek A1 - Pukacki, Juliusz A1 - Kersken, Hans-Peter A1 - Aloisio, Giovanni A1 - Cafaro, Massimo A1 - Ziegler, Wolfgang A1 - Russell, Michael T1 - Early experiences with the EGrid testbed T2 - Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid Y1 - 2001 U6 - https://doi.org/10.1109/CCGRID.2001.923185 SP - 130 EP - 137 ER - TY - BOOK A1 - Ternes, Thomas A1 - Bauer, Karl-Heinz A1 - Brauer, Frank A1 - Drewes, Jörg A1 - Joss, Adriano A1 - Hiller, Georg A1 - Jewell, Kevin A1 - Oehlmann, Jörg A1 - Radke, Michael A1 - Schulte-Oehlmann, Ulrike A1 - Schwartz, Thomas A1 - Seel, Peter A1 - Völker, Jeanette A1 - Weber, Lilo A1 - Weber, Marcus ED - Wilhelm, Christian T1 - Handlungsempfehlung zur integrativen Bewertung der weitergehenden Abwasserbehandlung von kommunalen Kläranlagen N2 - Das vorliegende Statuspapier beschreibt ein Konzept zur weitergehenden Abwasserbehandlung für die Bewertung von Aufbereitungsverfahren, sowohl in einer Pilotphase zur Auswahl von Verfah- rensoptionen als auch für die Bewertung großtechnischer Anlagen. Y1 - 2023 SN - 978-3-96862-563-8 VL - T1/2023 PB - DWA / GDCh ER - TY - CHAP A1 - Hege, Hans-Christian A1 - Hutanu, Andrei A1 - Kähler, Ralf A1 - Merzky, André A1 - Radke, Thomas A1 - Seidel, Edward A1 - Ullmer, Brygg T1 - Progressive Retrieval and Hierarchical Visualization of Large Remote Data T2 - Proceedings of the 2003 Workshop on Adaptive Grid Middleware Y1 - 2003 SP - 60 EP - 72 ER - TY - JOUR A1 - Hege, Hans-Christian A1 - Kähler, Ralf A1 - Seidel, Edward A1 - Radke, Thomas T1 - GriKSL zeigt Live-Demos auf der iGrid2002 JF - DFN-Mitteilungen, Heft 60 Y1 - 2002 SP - 21 EP - 22 ER - TY - CHAP A1 - Allen, Gabrielle A1 - Angulo, Dave A1 - Goodale, Tom A1 - Kielmann, Thilo A1 - Merzky, André A1 - Nabrzysk, Jarek A1 - Pukacki, Juliusz A1 - Russel, Michael A1 - Radke, Thomas A1 - Seidel, Edward A1 - Shalf, John A1 - Taylor, Ian T1 - GridLab – Enabling Applications on the Grid: A Progress Report T2 - Lecture Notes in Computer Science (LNCS) Y1 - 2002 N1 - 3rd Int. Workshop on Grid Computing, Supercomputing 2002 VL - 2536 SP - 39 EP - 45 ER - TY - CHAP A1 - Allen, Gabrielle A1 - Benger, Werner A1 - Goodale, Tom A1 - Hege, Hans-Christian A1 - Lanfermann, Gerd A1 - Merzky, André A1 - Radke, Thomas A1 - Seidel, Edward A1 - Shalf, John T1 - The Cactus Code: A Problem Solving Environment for the Grid T2 - High Performance Distributed Computing (HPDC-2000) Y1 - 2000 U6 - https://doi.org/10.1109/HPDC.2000.868657 SP - 253 EP - 260 ER - TY - CHAP A1 - Benger, Werner A1 - Hege, Hans-Christian A1 - Merzky, André A1 - Radke, Thomas A1 - Seidel, Edward T1 - Efficient Distributed File I/O for Visualization in Grid Environments T2 - Simulation and Visualization on the Grid Y1 - 2000 VL - 13 SP - 1 EP - 6 PB - Springer Verlag ER - TY - JOUR A1 - Hege, Hans-Christian A1 - Benger, Werner A1 - Merzky, André A1 - Kasper, Friedbert A1 - Radke, Thomas A1 - Seidel, Edward T1 - Schwarze Löcher in Sicht - Immersive Überwachung und Steuerung von Remote-Simulationen JF - DFN-Mitteilungen Y1 - 2000 VL - 52 IS - 2 SP - 4 EP - 6 ER - TY - GEN A1 - Benger, Werner A1 - Hege, Hans-Christian A1 - Merzky, Andre A1 - Radke, Thomas A1 - Seidel, Edward T1 - Efficient Distributed File I/O for Visualization in Grid Environments N2 - Large scale simulations running in metacomputing environments face the problem of efficient file I/O. For efficiency it is desirable to write data locally, distributed across the computing environment, and then to minimize data transfer, i.e.\ reduce remote file access. Both aspects require I/O approaches which differ from existing paradigms. For the data output of distributed simulations, one wants to use fast local parallel I/O for all participating nodes, producing a single distributed logical file, while keeping changes to the simulation code as small as possible. For reading the data file as in postprocessing and file based visualization, one wants to have efficient partial access to remote and distributed files, using a global naming scheme and efficient data caching, and again keeping the changes to the postprocessing code small. However, all available software solutions require the entire data to be staged locally (involving possible data recombination and conversion), or suffer from the performance problems of remote or distributed file systems. In this paper we show how to interface the HDF5 I/O library via its flexible Virtual File Driver layer to the Globus Data Grid. We show, that combining these two toolkits in a suitable way provides us with a new I/O framework, which allows efficient, secure, distributed and parallel file I/O in a metacomputing environment. T3 - ZIB-Report - SC-99-43 KW - Grid KW - Data Grid KW - Globus KW - HDF5 KW - Cactus KW - CCTK KW - Amira KW - VFD KW - Storage Systems Y1 - 1999 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-4326 ER - TY - GEN A1 - Hege, Hans-Christian A1 - Hutanu, Andrei A1 - Kähler, Ralf A1 - Merzky, André A1 - Radke, Thomas A1 - Seidel, Edward A1 - Ullmer, Brygg T1 - Progressive Retrieval and Hierarchical Visualization of Large Remote Data N2 - \noindent The size of data sets produced on remote supercomputer facilities frequently exceeds the processing capabilities of local visualization workstations. This phenomenon increasingly limits scientists when analyzing results of large-scale scientific simulations. That problem gets even more prominent in scientific collaborations, spanning large virtual organizations, working on common shared sets of data distributed in Grid environments. In the visualization community, this problem is addressed by distributing the visualization pipeline. In particular, early stages of the pipeline are executed on resources closer to the initial (remote) locations of the data sets. \noindent This paper presents an efficient technique for placing the first two stages of the visualization pipeline (data access and data filter) onto remote resources. This is realized by exploiting the ``extended retrieve'' feature of GridFTP for flexible, high performance access to very large HDF5 files. We reduce the number of network transactions for filtering operations by utilizing a server side data processing plugin, and hence reduce latency overhead compared to GridFTP partial file access. The paper further describes the application of hierarchical rendering techniques on remote uniform data sets, which make use of the remote data filtering stage. T3 - ZIB-Report - 03-40 KW - remote data access KW - large files KW - visualization pipeline KW - hdf5 KW - grid Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-7623 ER -