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 - Allen, Gabrielle A1 - Merzky, André A1 - Nabrzysk, Jarek A1 - Seidel, Edward T1 - GridLab - A Grid Application Toolkit and Testbed JF - Future Generation Computer Systems Y1 - 2002 VL - 18(8) SP - 1143 EP - 1153 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 - Allen, Gabrielle A1 - Benger, Werner A1 - Dramlitsch, Thomas A1 - Goodale, Tom A1 - Hege, Hans-Christian A1 - Lanfermann, Gerd A1 - Merzky, André A1 - Radtke, Thomas A1 - Seidel, Edward A1 - Shalf, John T1 - Cactus Tools for Grid Applications JF - Cluster Computing Y1 - 2001 U6 - https://doi.org/10.1023/A:1011491422534 VL - 4 IS - 3 SP - 179 EP - 188 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 - 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 - JOUR A1 - Allen, Gabrielle A1 - Goodale, Tom A1 - Lanfermann, Gerd A1 - Seidel, Edward A1 - Benger, Werner A1 - Hege, Hans-Christian A1 - Merzky, André A1 - Masso, Joan A1 - Shalf, John T1 - Solving Einstein’s Equations on Supercomputers JF - IEEE Computer Y1 - 1999 U6 - https://doi.org/10.1109/2.809251 SP - 52 EP - 59 ER - TY - CHAP A1 - Benger, Werner A1 - Foster, Ian A1 - Novotny, Jason A1 - Seidel, Edward A1 - Shalf, John A1 - Smith, Warren A1 - Walker, Paul T1 - Numerical Relativity in a Distributed Environment T2 - Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing Y1 - 1999 ER - TY - JOUR A1 - Allen, Gabrielle A1 - Davis, K. A1 - Goodale, Tom A1 - Hutanu, Andrei A1 - Kaiser, Hartmut A1 - Kielmann, Thilo A1 - Merzky, Andre A1 - Nieuwpoort, R. A1 - Reinefeld, Alexander A1 - Schintke, Florian A1 - Schütt, Thorsten A1 - Seidel, Edward A1 - Ullmer, Brygg T1 - The Grid Application Toolkit: Toward Generic and Easy Appliction Programming Interfaces for the Grid JF - Procceedings of the IEEE Y1 - 2005 U6 - https://doi.org/10.1109/JPROC.2004.842755 VL - 93 IS - 3 SP - 534 EP - 550 PB - IEEE Computer Society Press ER - TY - JOUR A1 - Hutanu, Andrei A1 - Allen, Gabrielle A1 - Beck, Stephen A1 - Holub, Petr A1 - Kaiser, Hartmut A1 - Kulshrestha, Archit A1 - Liska, Milos A1 - MacLaren, Jon A1 - Matyska, Ludek A1 - Paruchuri, Ravi A1 - Prohaska, Steffen A1 - Seidel, Edward A1 - Ullmer, Brygg A1 - Venkataraman, Shalini T1 - Distributed and collaborative visualization of large data sets using high-speed networks JF - Future Generation Comp. Syst Y1 - 2006 U6 - https://doi.org/10.1016/j.future.2006.03.026 VL - 22(8) SP - 1004 EP - 1010 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 - 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 -