微型机与应用2016，Vol.35Issue(10)：40-42,3.DOI:10.19358/j.issn.1674-7720.2016.09.014
基于CUDA的拉普拉斯金字塔的优化∗
Optimizations on Laplacian pyramid based on CUDA
摘要
Abstract
This paper presents a parallel Laplacian pyramid algorithm using CUDA. The parallel Laplacian pyramid algorithm using CUDA is a good match to the banked structure of shared memory and the coalescing requirement for high device memory throughput. The occupancy analy-sis for kernel is calculated and measured to maximize utilization. With a programmable NVIDIA GTX 480 GPU, the GPU-accelerated Laplacian pyramid algorithm performs dozens of times of speedup. The effective image fusion and the detail manipulation further demonstrate the feasibili-ty and necessity of the parallel Laplacian pyramid algorithm.关键词
CUDA/拉普拉斯金字塔/GPU/并行计算Key words
CUDA/Laplacian pyramid/GPU/parallel computing分类
计算机与自动化引用本文复制引用
邵靖凯,厉旭杰..基于CUDA的拉普拉斯金字塔的优化∗[J].微型机与应用,2016,35(10):40-42,3.基金项目
温州大学大学生创新创业训练计划项目( DC2015037) （ DC2015037）
浙江省自然科学基金(LQ14F020006) （LQ14F020006）
