@misc{HegeMerzkyZachow, author = {Hege, Hans-Christian and Merzky, Andre and Zachow, Stefan}, title = {Distributed Visualization with OpenGL Vizserver: Practical Experiences}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-5992}, number = {00-31}, abstract = {The increasing demand for distributed solutions in computing technology does not stop when it comes to visualization techniques. However, the capabilities of todays applications to perform remote rendering are limited by historical design legacys. Especially the popular X11 protokoll, which has been proven to be extremely flexible and usefull for remote 2D graphics applications, breaks down for the case of remote 3D rendering. In this white paper, we give a short overview of generic remote rendering technologies available today, and compare their performance to the recently released vizserver by SGI: a network extension to the SGI OpenGL rendering engines.}, 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} } @article{AllenDavisGoodaleetal.2005, author = {Allen, Gabrielle and Davis, K. and Goodale, Tom and Hutanu, Andrei and Kaiser, Hartmut and Kielmann, Thilo and Merzky, Andre and Nieuwpoort, R. and Reinefeld, Alexander and Schintke, Florian and Sch{\"u}tt, Thorsten and Seidel, Edward and Ullmer, Brygg}, title = {The Grid Application Toolkit: Toward Generic and Easy Appliction Programming Interfaces for the Grid}, series = {Procceedings of the IEEE}, volume = {93}, journal = {Procceedings of the IEEE}, number = {3}, publisher = {IEEE Computer Society Press}, doi = {10.1109/JPROC.2004.842755}, pages = {534 -- 550}, year = {2005}, language = {en} }