期刊
BIOINFORMATICS
卷 26, 期 1, 页码 134-135出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp608
关键词
-
类别
资金
- National Institutes of Health [1U54DA021519-01A1]
- NATIONAL INSTITUTE ON DRUG ABUSE [U54DA021519] Funding Source: NIH RePORTER
Motivation: By default, the R statistical environment does not make use of parallelism. Researchers may resort to expensive solutions such as cluster hardware for large analysis tasks. Graphics processing units (GPUs) provide an inexpensive and computationally powerful alternative. Using R and the CUDA toolkit from Nvidia, we have implemented several functions commonly used in microarray gene expression analysis for GPU-equipped computers. Results: R users can take advantage of the better performance provided by an Nvidia GPU.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据