FURTHER IMPROVEMENTS OF PARALLEL N-FINDR ALGORITHM USING NVIDIA GPUS

被引:0
|
作者
Luo, Wenfei [1 ]
机构
[1] S China Normal Univ, Sch Geog Sci, Guangzhou 510631, Guangdong, Peoples R China
关键词
Hyperspectral remote sensing; spectral unmixing; endmember extraction; N-FINDR; high performance computing; GPUs; HYPERSPECTRAL DATA;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 NFINDR 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.
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