Paper Info
Title
Optimization And Performance Evaluation Of Stereo-Matching Software On Many-Core Processors
Abstract
The high-performance Geospatial Information System (GIS) is expected to provide an innovative infrastructure for Earth sciences, enabling near-real-time data and processing services. Stereo-matching software has often been used in generating a Digital Elevation Model (DEM) from a pair of satellite imagery data sets to compute height from a parallax views using two photographic images. There is a need to reduce the computation time required for processing large images. We optimize stereo-matching software on multi-core/many-core processors, including Xeon, Cell and GPGPU. We describe optimization approaches of the correlation calculation part which occupied about 55% of the ovarall computation time. After porting and optimizing software for multi-core/many-core processors, we achieved processing time of 4.79 second (Xeon), 2.28 second (Cell) and 0.97 second (GPGPU) on each platform.
Year
DOI
Venue
2011
10.1016/j.procs.2011.04.167
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS)
Keywords
DocType
Volume
Stereo matching, Multi-core, Many-core, Optimize, GPGPU
Journal
4
ISSN
Citations 
PageRank 
1877-0509
0
0.34
References 
Authors
6
7
Name
Order
Citations
PageRank
Kenji Iwata1403.73
Yoshio Tanaka213720.96
Ryosuke Nakamura36821.87
Tomoki Masuda4272.18
Ryosuke Machida500.34
Isao Kojima614320.38
Satoshi Sekiguchi766669.80