Institutional Repository
| 基于GPU的非标记定量软件QuantWiz并行化实现 | |
| Alternative Title | parallelization of label-free protein quantification software quantwiz based on gpu |
| 费辉; 张云泉; 王靖 | |
| 2012 | |
| Source | 计算机科学
 |
| ISSN | 1002-137X |
| Volume | 39Issue:6Pages:285-288 |
| English Abstract | QuantWiz是一款基于质谱的非标记定量软件,可很好地应用于定量蛋白质组学。实验数据的日益增大,使定量的计算量巨大,耗费时间长。GPU以几百GFlops甚至上TFlops的运算能力,为定量蛋白质组学这样的计算密集型应用提供了良好的加速方案。对QuantWiz软件做了深入的研究与分析,找到了软件性能的热点模块所在,提出了该软件在GPU上的加速方案———GPU-QuantWiz,并进行了实现。性能测试显示,在Tesla C1060上,该方案的平均加速比达到9.66倍,得到了良好的加速效果。同时,该方案还可以扩展到两块及以上的GPU上,具有良好的可扩展性。 |
| Abstract | QuantWiz is a label-free quantitative software based on mass spectrometry,well used in quantitative proteomics.The increasing experimental data causes the enormous workload.Having hundreds of GFlops or even TFlops performance,GPU can speed up such compute-intensive quantitative proteomics applications.This article analyzed the software QuantWiz,to find the hotspot module of this software.Then we presented an accelerated program on GPU for this software called GPU-QuantWiz and implemented it under CUDA Framework.Statistical performance results show that the accelerated program can achieve good performance,with 9.66 speedup.Moreover,our algorithm can be exten-ded on two or more GPUs,with a good scalability. |
| Keyword | Quantwiz Gpu Label-free Quantification Proteome Quantwiz Gpu Parallel Computing |
| Department | 中国科学院软件研究所并行软件与计算科学实验室;中国科学院软件研究所计算机科学国家重点实验室;中国科学院研究生院; |
| Subject | Computer Science (Provided By Thomson Reuters) |
| Language | 中文 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14682 |
| Collection | 并行软件与计算科学实验室 |
| Recommended Citation GB/T 7714 | 费辉,张云泉,王靖. 基于GPU的非标记定量软件QuantWiz并行化实现[J]. 计算机科学,2012,39(6):285-288. |
| APA | 费辉,张云泉,&王靖.(2012).基于GPU的非标记定量软件QuantWiz并行化实现.计算机科学,39(6),285-288. |
| MLA | 费辉,et al."基于GPU的非标记定量软件QuantWiz并行化实现".计算机科学 39.6(2012):285-288. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 基于GPU的非标记定量软件QuantWi（968KB） | 开放获取 | License | Application Full Text | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment