Statistics – Applications
Scientific paper
Jun 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011spie.8008e..30w&link_type=abstract
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011. Edited by Romaniuk, Ry
Statistics
Applications
Scientific paper
Finding interesting celestial objects among tens of thousands or even
millions of recorded raw data is not an easy task to implement. In this
paper we speed up this process with high level nvidia cuda C++ template
library called Thrust, which makes our database with R interface much
more efficient.
Hryniewicz Krzysztof
Wasiewicz P.
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