@article{EnkeSteinmetzAdorfetal.2011, author = {Enke, Harry and Steinmetz, Matthias and Adorf, Hans-Martin and Beck-Ratzka, Alexander and Breitling, Frank and Br{\"u}semeister, Thomas and Carlson, Arthur and Ensslin, Torsten and H{\"o}gqvist, Mikael and Nickelt, Iliya and Radke, Thomas and Reinefeld, Alexander and Reiser, Angelika and Scholl, Tobias and Spurzem, Rainer and Steinacker, J{\"u}rgen and Voges, Wolfgang and Wambsganß, Joachim and White, Steve}, title = {AstroGrid-D: Grid technology for astronomical science}, series = {New Astronomy}, volume = {16}, journal = {New Astronomy}, number = {2}, doi = {10.1016/j.newast.2010.07.005}, pages = {79 -- 93}, year = {2011}, language = {en} } @inproceedings{HegeHutanuKaehleretal.2003, author = {Hege, Hans-Christian and Hutanu, Andrei and K{\"a}hler, Ralf and Merzky, Andr{\´e} and Radke, Thomas and Seidel, Edward and Ullmer, Brygg}, title = {Progressive Retrieval and Hierarchical Visualization of Large Remote Data}, series = {Proceedings of the 2003 Workshop on Adaptive Grid Middleware}, booktitle = {Proceedings of the 2003 Workshop on Adaptive Grid Middleware}, pages = {60 -- 72}, year = {2003}, language = {en} } @article{HegeKaehlerSeideletal.2002, author = {Hege, Hans-Christian and K{\"a}hler, Ralf and Seidel, Edward and Radke, Thomas}, title = {GriKSL zeigt Live-Demos auf der iGrid2002}, series = {DFN-Mitteilungen, Heft 60}, journal = {DFN-Mitteilungen, Heft 60}, pages = {21 -- 22}, year = {2002}, language = {en} } @inproceedings{AllenAnguloGoodaleetal.2002, author = {Allen, Gabrielle and Angulo, Dave and Goodale, Tom and Kielmann, Thilo and Merzky, Andr{\´e} and Nabrzysk, Jarek and Pukacki, Juliusz and Russel, Michael and Radke, Thomas and Seidel, Edward and Shalf, John and Taylor, Ian}, title = {GridLab - Enabling Applications on the Grid: A Progress Report}, series = {Lecture Notes in Computer Science (LNCS)}, volume = {2536}, booktitle = {Lecture Notes in Computer Science (LNCS)}, pages = {39 -- 45}, year = {2002}, language = {en} } @inproceedings{AllenBengerGoodaleetal.2000, author = {Allen, Gabrielle and Benger, Werner and Goodale, Tom and Hege, Hans-Christian and Lanfermann, Gerd and Merzky, Andr{\´e} and Radke, Thomas and Seidel, Edward and Shalf, John}, title = {The Cactus Code: A Problem Solving Environment for the Grid}, series = {High Performance Distributed Computing (HPDC-2000)}, booktitle = {High Performance Distributed Computing (HPDC-2000)}, doi = {10.1109/HPDC.2000.868657}, pages = {253 -- 260}, year = {2000}, language = {en} } @incollection{BengerHegeMerzkyetal.2000, author = {Benger, Werner and Hege, Hans-Christian and Merzky, Andr{\´e} and Radke, Thomas and Seidel, Edward}, title = {Efficient Distributed File I/O for Visualization in Grid Environments}, series = {Simulation and Visualization on the Grid}, volume = {13}, booktitle = {Simulation and Visualization on the Grid}, publisher = {Springer Verlag}, pages = {1 -- 6}, year = {2000}, language = {en} } @inproceedings{AllenBengerDramlitschetal.2001, author = {Allen, Gabrielle and Benger, Werner and Dramlitsch, Thomas and Goodale, Tom and Hege, Hans-Christian and Lanfermann, Gerd and Merzky, Andr{\´e} and Radke, Thomas and Seidel, Edward}, title = {Cactus Grid Computing: Review of Current Devlopment}, series = {Proceedings of Euro-Par 2001: 7th International Euro-Par Conference on Parallel Processing}, volume = {2150}, booktitle = {Proceedings of Euro-Par 2001: 7th International Euro-Par Conference on Parallel Processing}, editor = {Sakellariou, Rizos and Keane, Jon and Gurd, John and Freeman, Len}, publisher = {Springer Verlag, Berlin Heidelberg 2001}, doi = {10.1007/3-540-44681-8_115}, pages = {817 -- 824}, year = {2001}, language = {en} } @article{HegeBengerMerzkyetal.2000, author = {Hege, Hans-Christian and Benger, Werner and Merzky, Andr{\´e} and Kasper, Friedbert and Radke, Thomas and Seidel, Edward}, title = {Schwarze L{\"o}cher in Sicht - Immersive {\"U}berwachung und Steuerung von Remote-Simulationen}, series = {DFN-Mitteilungen}, volume = {52}, journal = {DFN-Mitteilungen}, number = {2}, pages = {4 -- 6}, year = {2000}, language = {en} } @inproceedings{EnkeSteinmetzRadkeetal.2007, author = {Enke, Harry and Steinmetz, Matthias and Radke, Thomas and Reiser, Angelika and R{\"o}blitz, Thomas and H{\"o}gqvist, Mikael}, title = {AstroGrid-D: Enhancing Astronomic Science with Grid Technology}, series = {German e-Science Conference}, booktitle = {German e-Science Conference}, publisher = {Max Planck Digital Library}, year = {2007}, language = {en} } @inproceedings{AllenDramlitschGoodaleetal., author = {Allen, Gabrielle and Dramlitsch, Thomas and Goodale, Tom and Lanfermann, Gerd and Radke, Thomas and Seidel, Edward and Kielmann, Thilo and Verstoep, Kees and Balaton, Zolt{\´a}n and Kacsuk, P{\´e}ter and Szalai, Ferenc and Gehring, J{\"o}rn and Keller, Axel and Streit, Achim and Matyska, Ludek and Ruda, Miroslav and Krenek, Ales and Knipp, Harald and Merzky, Andr{\´e} and Reinefeld, Alexander and Schintke, Florian and Ludwiczak, Bogdan and Nabrzyski, Jarek and Pukacki, Juliusz and Kersken, Hans-Peter and Aloisio, Giovanni and Cafaro, Massimo and Ziegler, Wolfgang and Russell, Michael}, title = {Early experiences with the EGrid testbed}, series = {Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid}, booktitle = {Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid}, doi = {10.1109/CCGRID.2001.923185}, pages = {130 -- 137}, language = {en} } @misc{BengerHegeMerzkyetal., author = {Benger, Werner and Hege, Hans-Christian and Merzky, Andre and Radke, Thomas and Seidel, Edward}, title = {Efficient Distributed File I/O for Visualization in Grid Environments}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-4326}, number = {SC-99-43}, abstract = {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.}, language = {en} } @misc{HegeHutanuKaehleretal., author = {Hege, Hans-Christian and Hutanu, Andrei and K{\"a}hler, Ralf and Merzky, Andr{\´e} and Radke, Thomas and Seidel, Edward and Ullmer, Brygg}, title = {Progressive Retrieval and Hierarchical Visualization of Large Remote Data}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-7623}, number = {03-40}, abstract = {\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.}, language = {en} }