分析测试学报2012，Vol.31Issue(7)：771-778,8.DOI:10.3969/j.issn.1004-4957.2012.07.003
基于GPU计算的并行PLS算法研究与实现
Research and Implementation of Parallel PLS Algorithm Based on GPU Computing
摘要
Abstract
Partial least squares (PLS) algorithm is one of the most common used chemometric algo-rithms, and is often combined with infrared and near infrared spectroscopy analysis. However, its regular implementation in a single-threaded way makes the modeling process severely ineffective when there are a great deal of models to built, or when there are iterative optimizations of the wavelength ranges and its preprocessing methods need to build an optimal model which contains thousands of sam-ples, enormous data points, and uses a large number of principal components. To give an effective modeling method in this situation, this paper presented a novel parallel chemometric computation strategy which takes the Graphic Processing Unit (GPU) as computing devices, and then the parallel PLS algorithm, i. e. CUPLS, is implemented using the CUBLAS library. Finally, using a large near infrared spectroscopy ( NIR) dataset as the test bed, a performance comparison experiment is conducted, and the results showed that the speed of the parallel algorithm is 42 times faster than that of the CPU-based implementation, which dramatically improves the efficiency of chemometric model-ing algorithm. The proposed method shines a light on speeding up other chemometric algorithms with appropriate adoption.关键词
偏最小二乘/并行计算/图形处理器/CUDA/光谱分析Key words
partial least squares(PLS) / parallel computing/ GPU/ CUDA/ spectral analysis分类
化学化工引用本文复制引用
杨辉华,唐天彪,李灵巧,郭拓,罗国安..基于GPU计算的并行PLS算法研究与实现[J].分析测试学报,2012,31(7):771-778,8.基金项目
国家自然科学基金(61105004) （61105004）
广西自然科学基金(2012GXNSFAA053230) （2012GXNSFAA053230）
广西高等学校优秀人才资助计划项目(桂教人[2011]40号) （桂教人[2011]40号）
广西可信软件重点实验室开放基金(kx201121) （kx201121）
广西研究生教育创新计划资助项目(2010105950812M22,2011105950811M24) （2010105950812M22,2011105950811M24）
