| G. Velamparampil, Data Management Techniques to Handle Large Data Arrays in HDF, M.S. Thesis, Department of Computer Science, University of Illinois, 1997. Predicted Panda message passing throughput |
....chunking in Panda as well as its interface for write intensive applications on massively parallel platforms. Technology transfer from the Panda project has helped lead to an implementation of multidimensional array chunking, coupled with compression, in the HDF scientific data management package [Velamparampil97]. PIOUS [Moyer94] is a pioneer work in parallel I O on a workstation cluster. PIOUS is a parallel file system with a Unix style file interface; coordinated access to a file is guaranteed using transactions. Our strategies for collective I O and for slow shared media networks could be built on top ....
G. Velamparampil, Data Management Techniques to Handle Large Data Arrays in HDF, M.S. Thesis, Department of Computer Science, University of Illinois, 1997. Predicted Panda message passing throughput
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