集成技术Issue(3):92-101,10.
基于GPU的生物信息学研究综述
A Review of GPU-facilitated Bioinformatics Research
摘要
Abstract
With the rapid development of high-throughput OMICs technology in past few years, the research methodologies of life science have undergone tremendous changes. The analysis of numerous biological data urgent modern technologies and tools for big data analysis. Compared with other computing technologies, GPU has signiifcant advantages on lfoating operations, parallelism and energy consumption and gets more and more attention as a general-purpose computing device. Bioinformatics researchers apply GPU in their project and accelerate the program with a speed-up of two orders of magnitude as usual. In this paper, we will review GPU application in several ifelds of bioinformatics and discuss the features of problems which GPU is capable of and its shortcomings.关键词
GPU/生物信息学/CUDAKey words
GPU/bioinformatics/CUDA分类
信息技术与安全科学引用本文复制引用
孟庆汉,周曼丽,罗幼喜,赵苗苗,周丰丰..基于GPU的生物信息学研究综述[J].集成技术,2014,(3):92-101,10.基金项目
深圳市孔雀计划(KQCX20130628112914301),深圳市研究项目(ZDSY20120617113021359),国家973项目(2010CB732606)。 (KQCX20130628112914301)