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We present a real-time, full-frame, multi-target Wide Area Motion Imagery (WAMI) tracking system that utilizes distributed processing to handle high data rates while maintaining high track quality. The proposed architecture processes the WAMI data as a series of geospatial tiles and implements both process- and thread-level parallelism across multiple(More)
This paper presents a combination of state-of-the-practice for extraction-based in situ analysis, the treatment of in situ analysis as a form of I/O, and a proposal to the community regarding the handling of in situ and I/O libraries. Extraction in situ analysis extracts subsets of data using certain techniques (e.g., isosurfacing) and saves only the(More)
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