High Performance I/O
University of Maryland

Many scientific problems make use of very large data sets. Examples include land cover dynamics, submarine structural acoustics, analysis of earth observation data, computational biology, computational quantum chemistry, seismic data processing etc. The goals of our research are to determine the I/O requirements of such applications and to develop compile-time and run-time techniques to optimize their performance on multiprocessor architectures with multiple disks or disk arrays. Currently, the major driving applications for this work are the University of Maryland's Land Cover Dynamics Grand Challenge project, submarine structural acoustics and analysis of the data generated by the Earth Observation System project which is a part of NASA's Mission to Planet Earth. This research is being carried out in collaboration with the Scalable I/O consortium and CRPC.


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