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Applications for Measurement and Benchmarking of I/O on Parallel Computers
Titan is a parallel scientific database for remote-sensing data. In addition
to retrieving data, Titan performs navigation, correction and composition to
generate a land-cover image of the region of interest. The region of interest
is specified by temporal and geographical (latitude-longitude) ranges. This
application performs I/O using the asynchronous lio_listio operations. It
throttles the number of requests to keep the number of outstanding I/O requests
under a user-specified limit.
Input Dataset
Titan contains two months of data from the NOAA-7 satellite. The total database
size is 30 GB which spans 60 data-files.
Workload
To drive this application, we used three queries which span a 30-day period over
the entire globe, North America and Asia respectively.
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