SC13 Home > SC13 Schedule > SC13 Presentation - Mapping and Characterizing Global-Scale Human Settlements Using HPC

SCHEDULE: NOV 16-22, 2013

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Mapping and Characterizing Global-Scale Human Settlements Using HPC

SESSION: Research Poster Reception

EVENT TYPE: Posters, Electronic Posters, and Education Posters

TIME: 5:15PM - 7:00PM

AUTHOR(S):Dilip Patlolla, Anil Cheriyadat, Harini Sridharan, Vincent Paquit, Jeanette Weaver, Mark Tuttle

ROOM:Mile High Pre-Function

Analytics derived from large-scale analysis of satellite image data is a key driver for many geospatial models including population mapping, risk modeling, and critical infrastructure assessment. Making informed national-level decisions based on analytics such as the spatial distribution of mobile home parks or the development rate of new constructions requires repeated processing of Peta-scale high resolution image data. The process often comprises computationally expensive steps like extracting, representing, and identifying pixel patterns that corresponds to the physical location and man-made structures. Such processes can easily saturate conventional CPUs. Our settlement mapping system consists of computer vision and machine-learning techniques implemented on a multi-GPU architecture to extract, model, and interpret image data to characterize the spatial, structural, and semantic attributes of human settlements. It scales linearly with increase in the number of GPUs while delivering significant speedup enabling us to produce world scale human settlement mapping products at every 1-2 years.

Chair/Author Details:

Dilip Patlolla - Oak Ridge National Laboratory

Anil Cheriyadat - Oak Ridge National Laboratory

Harini Sridharan - Oak Ridge National Laboratory

Vincent Paquit - Oak Ridge National Laboratory

Jeanette Weaver - Oak Ridge National Laboratory

Mark Tuttle - Oak Ridge National Laboratory

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