The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography

	The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography
	Zhang, Bo 1; Yang, Xiang2,3 ; Yang, Fei 2; Yang, Xin2 ; Qin, Chenghu 2; Han, Dong 2; Ma, Xibo2 ; Liu, Kai 2; Tian, Jie 1,2,3
发表期刊	OPTICS EXPRESS
	2010-09-13
卷号	18 期号:19 页码:20201-20214
文章类型	Article
摘要	In molecular imaging (MI), especially the optical molecular imaging, bioluminescence tomography (BLT) emerges as an effective imaging modality for small animal imaging. The finite element methods (FEMs), especially the adaptive finite element (AFE) framework, play an important role in BLT. The processing speed of the FEMs and the AFE framework still needs to be improved, although the multi-thread CPU technology and the multi CPU technology have already been applied. In this paper, we for the first time introduce a new kind of acceleration technology to accelerate the AFE framework for BLT, using the graphics processing unit (GPU). Besides the processing speed, the GPU technology can get a balance between the cost and performance. The CUBLAS and CULA are two main important and powerful libraries for programming on NVIDIA GPUs. With the help of CUBLAS and CULA, it is easy to code on NVIDIA GPU and there is no need to worry about the details about the hardware environment of a specific GPU. The numerical experiments are designed to show the necessity, effect and application of the proposed CUBLAS and CULA based GPU acceleration. From the results of the experiments, we can reach the conclusion that the proposed CUBLAS and CULA based GPU acceleration method can improve the processing speed of the AFE framework very much while getting a balance between cost and performance. (C) 2010 Optical Society of America
关键词	Inverse Problems Tomography Image Reconstruction Spectroscopy Fluorescence Luminescence
WOS标题词	Science & Technology ; Physical Sciences
关键词[WOS]	PHOTON MIGRATION ; LIGHT ; SIMULATION ; TRANSPORT ; BOUNDARY ; MEDIA ; MODEL
收录类别	SCI
语种	英语
WOS研究方向	Optics
WOS类目	Optics
WOS记录号	WOS:000281779600057
引用统计	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3983
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
作者单位	1.Northeastern Univ, Sinodutch Biomed & Informat Engn Sch, Shenyang 110004, Peoples R China 2.Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100190, Peoples R China 3.Xidian Univ, Life Sci Res Ctr, Sch Life Sci & Technol, Xian 710071, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhang, Bo,Yang, Xiang,Yang, Fei,et al. The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography[J]. OPTICS EXPRESS,2010,18(19):20201-20214.
APA	Zhang, Bo.,Yang, Xiang.,Yang, Fei.,Yang, Xin.,Qin, Chenghu.,...&Tian, Jie.(2010).The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography.OPTICS EXPRESS,18(19),20201-20214.
MLA	Zhang, Bo,et al."The CUBLAS and CULA based GPU acceleration of adaptive finite element framework for bioluminescence tomography".OPTICS EXPRESS 18.19(2010):20201-20214.

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