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基于GPU的并行优化技术
左颢睿; 张启衡; 徐勇; 赵汝进
Source Publication计算机应用研究
Issue11Pages:4115-4118
2009
Language中文
Subtype期刊论文
Abstract针对标准并行算法难以在图形处理器(GPU)上高效运行的问题,以累加和算法为例,基于Nvidia公司统一计算设备架构(CUDA)GPU介绍了指令优化、共享缓存冲突避免、解循环优化和线程过载优化四种优化方法.实验结果表明,并行优化能
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/5014
Collection光电探测与信号处理研究室(五室)
Corresponding Author左颢睿
Affiliation中国科学院光电技术研究所
Recommended Citation
GB/T 7714
左颢睿,张启衡,徐勇,等. 基于GPU的并行优化技术[J]. 计算机应用研究,2009(11):4115-4118.
APA 左颢睿,张启衡,徐勇,&赵汝进.(2009).基于GPU的并行优化技术.计算机应用研究(11),4115-4118.
MLA 左颢睿,et al."基于GPU的并行优化技术".计算机应用研究 .11(2009):4115-4118.
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