Title :
High performance GPU Bayesian image synthesis
Author :
Miguel C?rcamo;Fernando R. Rannou;Pablo E. Rom?n;Victor Moral;Simon Casassus
Author_Institution :
Departamento de Ingenier?a Inform?tica, Universidad de Santiago de Chile, Regi?n Metropolitana, Santiago, Chile
Abstract :
ALMA is a revolutionary instrument in its scientific concept, its engineering design and its organisation as a global effort. ALMA and new incoming radio-telescopes delivery big amounts of data that are useful to the sky image reconstruction. In this context, MEM is one of the most recognized reconstruction algorithms in radio-interferometry and is based on a Bayesian approach. Our results show that an GPU implementation of this algorithm on a half of and NVIDIA K80 is approximately 100 to 500 times faster than the multi-core implementation.
Keywords :
"Graphics processing units","Image reconstruction","Mathematical model","Kernel","Image generation","Entropy","Computational modeling"
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2015 IEEE International Symposium on
DOI :
10.1109/ISSPIT.2015.7394340
