DocumentCode :
117314
Title :
A GPU accelerated virtual scanning confocal microscope
Author :
Kingsley, James ; Zhilu Chen ; Bibeau, Jeffrey ; Vidali, Luis ; Xinming Huang ; Tuzel, Erkan
Author_Institution :
Dept. of Phys., Worcester Polytech. Inst., Worcester, MA, USA
fYear :
2014
fDate :
9-11 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Fluorescence Recovery After Photobleaching (FRAP) is a commonly used technique for quantifying the movement of small biological systems. To aid in the evaluation of experimentally produced data, we used the parallel processing power offered by Graphics Processing Units (GPUs) to accelerate a computational simulation of the process. We find that the parallel process is significantly faster when implemented on the GPU, and that further speed increases can be accomplished via various optimizations, bringing the speed increase up to a factor of one hundred in some cases.
Keywords :
biology computing; fluorescence; graphics processing units; optical microscopy; optical saturable absorption; parallel processing; FRAP; GPU accelerated virtual scanning confocal microscope; computational simulation acceleration; fluorescence recovery after photobleaching; graphics processing units; parallel processing power; small biological system movement quantification; Computational modeling; Graphics processing units; Kernel; Laser beams; Microscopy; Photobleaching; CUDA; FRAP; GPU; parallel computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Extreme Computing Conference (HPEC), 2014 IEEE
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-6232-7
Type :
conf
DOI :
10.1109/HPEC.2014.7040992
Filename :
7040992
Link To Document :
بازگشت