@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} } @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} } @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} } @inproceedings{UllmerHutanuBengeretal.2003, author = {Ullmer, Brygg and Hutanu, Andrei and Benger, Werner and Hege, Hans-Christian}, title = {Emerging Tangible Interfaces for Facilitating Collaborative Immersive Visualizations}, series = {Proc. of NSF Lake Tahoe Workshop on Collaborative Virtual Reality and Visualization (extended abstract)}, booktitle = {Proc. of NSF Lake Tahoe Workshop on Collaborative Virtual Reality and Visualization (extended abstract)}, editor = {Staadt, Oliver}, year = {2003}, language = {en} } @article{HutanuAllenBecketal.2006, author = {Hutanu, Andrei and Allen, Gabrielle and Beck, Stephen and Holub, Petr and Kaiser, Hartmut and Kulshrestha, Archit and Liska, Milos and MacLaren, Jon and Matyska, Ludek and Paruchuri, Ravi and Prohaska, Steffen and Seidel, Edward and Ullmer, Brygg and Venkataraman, Shalini}, title = {Distributed and collaborative visualization of large data sets using high-speed networks}, series = {Future Generation Comp. Syst}, volume = {22(8)}, journal = {Future Generation Comp. Syst}, doi = {10.1016/j.future.2006.03.026}, pages = {1004 -- 1010}, year = {2006}, language = {en} }