Quasars spectra classification with the help of GPU computing
Institute of Electronic Systems, Warsaw University of Technology, Warsaw, Poland
Proc. of SPIE 2011 vol. 8008, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, 2011
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 evaluatedcient.
October 26, 2011 by hgpu
