General-purpose computing on GPU Pixel processing

被引：0
|
作者：
Ockay, Milos [1 ]
机构：
[1] Armed Forces Acad, Dept Informat, Liptovsky Mikulas, Slovakia
来源：
2017 COMMUNICATION AND INFORMATION TECHNOLOGIES (KIT) | 2017年
关键词：
GPU; CPU; optimization; pixel; parallel; shader; kernel; SIMD; MIMD; CUDA; streaming; HPC;
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：
Presented paper explains general purpose approach to the parallel pixel processing on GPU. It presents essential dataset structuring, correct type assignment and kernel configuration for CUDA application interface. Paper also explains data movement and optimal computation saturation. Transfers are also analyzed in correlation with the computation especially for the embarrassingly parallel problem. Paper defines possible pitfalls of large dataset transfers and low computation intensity. The list of the optimization techniques, used for the pixel processing on GPU, is also included.
引用
收藏
页码：115 / 118
页数：4
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