Quasars Spectra Classification with the Help of GPU Computing
Piotr Wąsiewicz , K. Hryniewicz
AbstractFinding 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.
|Book||Romaniuk Ryszard (eds.): Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011 (Proceedings Volume), vol. 8008, 2011, SPIE, ISBN 9780819485823, 614 pages; 71 papers; N/A|
|project||Research on measurment, circuit and signal theory and electronic circuits and systems. Project leader: Romaniuk Ryszard,
, Phone: +48 22 234 7986, +48 22 234 5360, start date 05-04-2012, planned end date 31-12-2012, end date 30-11-2013, ISE/2012/DS, Completed
|Citation count*||0 (2015-05-30)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.