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Scientific datasets and libraries, such as HDF5, ADIOS, and NetCDF, have been used widely in many data-intensive applications. These libraries have their special file formats and I/O functions to provide efficient access to large datasets. Recent studies have started to utilize indexing, subsetting, and data reorganization to manage the increasingly large datasets. In this work, we present an approach...
Scientific datasets and libraries, such as HDF5, ADIOS, and NetCDF, have been used widely in many data intensive applications. These libraries have their special file formats and I/O functions to provide efficient access to large datasets. When the data size keeps increasing, these high level I/O libraries face new challenges. Recent studies have started to utilize database techniques such as indexing...
Scientific datasets, such as HDF5 and PnetCDF, have been used widely in many scientific applications. These data formats and libraries provide essential support for data analysis in scientific discovery and innovations. In this research, we present an approach to boost data analysis, namely Fast Analysis with Statistical Metadata (FASM), via data sub setting and integrating a small amount of statistics...
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