Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures

Joel H. Saltz; George Teodoro; Tony Pan; Lee A.D. Cooper; Jun Kong; Scott Klasky; Tahsin M. Kurc

doi:10.1177/1094342013488260

Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures

Joel H. Saltz
, George Teodoro
, Tony Pan
, Lee A.D. Cooper
, Jun Kong
, Scott Klasky
, Tahsin M. Kurc

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The analysis of large sensor datasets for structural and functional features has applications in many domains, including weather and climate modeling, characterization of subsurface reservoirs, and biomedicine. The vast amount of data obtained from state-of-the-art sensors and the computational cost of analysis operations create a barrier to such analyses. In this paper, we describe middleware system support to take advantage of large clusters of hybrid CPU-GPU nodes to address the data and compute-intensive requirements of feature-based analyses of large spatio-temporal datasets.

Original language	English
Pages (from-to)	263-272
Number of pages	10
Journal	International Journal of High Performance Computing Applications
Volume	27
Issue number	3
DOIs	https://doi.org/10.1177/1094342013488260
State	Published - Aug 2013

Funding

This work was funded, in part, by contract HHSN261200800001E by the NCI; and grants 5R01LM009239-04 and 1R01LM011119-01 from the NLM, R24HL085343 from the NHLBI, NIH P20EB000591, RC4MD005964 from NIH, and PHS grant UL1TR000454 from the CTSA Program, NIH, NCATS. This research used resources of the Keeneland Computing Facility at the Georgia Institute of Technology, which is supported by the NSF under contract OCI-0910735.

Keywords

GPGPU
Sensor data
cluster computing
data analysis and management
imaging data

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AU - Kong, Jun

AU - Klasky, Scott

AU - Kurc, Tahsin M.

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KW - Sensor data

KW - cluster computing

KW - data analysis and management

KW - imaging data

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ER -

Feature-based analysis of large-scale spatio-temporal sensor data on hybrid architectures

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