DocumentCode :
692833
Title :
Further improvements of parallel N-FINDR algorithm using NVidia GPUs
Author :
Wenfei Luo
Author_Institution :
Sch. of Geogr. Sci., South China Normal Univ., Guangzhou, China
fYear :
2012
fDate :
4-7 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Based on our previous work about parallel implementation on N-FINDR in cluster environment, we give some supplements and further developed parallel N-FINDR algorithms by using NVidia graphics processing units (GPUs). Two characterizes are presented. First, extended volume calculation is further considered. Our proposed method is only involved in matrix-vector or vector-vector multiplication, which is suitable to be performed on GPUs. Second, due to the limitation of constant memory providing for GPUs, two patterns for parallel implementation of N-FINDR are considered with the imagery in both reduced and original dimension. In experiments, our proposed algorithms greatly improved the performance of N-FINDR and obtained nearly real-time capability.
Keywords :
geophysical image processing; graphics processing units; matrix multiplication; parallel algorithms; NVidia GPU; NVidia graphics processing units; cluster environment; constant memory; extended volume calculation; matrix-vector multiplication; parallel N-FINDR algorithm; vector-vector multiplication; Abstracts; Graphics processing units; Sensors; Vectors; GPUs; Hyperspectral remote sensing; N-FINDR; endmember extraction; high performance computing; spectral unmixing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3405-8
Type :
conf
DOI :
10.1109/WHISPERS.2012.6874304
Filename :
6874304
Link To Document :
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