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 - 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 - 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 - 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 - 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 - 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 -