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My primary research interest is enabling innovative data management for high performance, especially scientific, applications. As the data sizes for modern HEC platforms approach and exceed PetaScale, the difficulty of managing, transmitting, storing and processing the generated data becomes untenable. In order to reduce the complexity of dealing with PetaScale I/O, we have developed, jointly with ORNL, new infrastructures for dealing with this vast deluge of data. In particular we are looking at extending in-transit data processing to supercomputing applications utilizing additional resources in the system. This method of processing is called "data staging", allowing us to create custom data processing pipelines to process in flight data without generating substantial overheads on either the application or the storage subsystem.
Expected graduation date: Dec 2010.
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Procedia Computer Scienceno. C (2016): 1507-1518
Conquering Big Data with High Performance Computingpp.31-59, (2016)
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