期刊论文详细信息
Journal of computational biology: A journal of computational molecular cell biology
FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters
HéctorMartínez^1,21  SergioBarrachina^22  MaribelCastillo^23 
[1] Address correspondence to:Héctor Martínez, PhD studentDepartment of Computer Science and EngineeringJaume I UniversityCastellón 12006Spain^1;Department of Computer Science and Engineering, Jaume I University, Castellón, Spain^2;Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain^3
关键词: clusters of computers;    epistasis;    FaST-LMM;    genome-wide association studies (GWAS);    GPUs;    multicore processors;   
DOI  :  10.1089/cmb.2018.0087
学科分类:生物科学(综合)
来源: Mary Ann Liebert, Inc. Publishers
PDF
【 摘 要 】

We introduce a version of the epistasis test in FaST-LMM for clusters of multithreaded processors. This new software maintains the sensitivity of the original FaST-LMM while delivering acceleration that is close to linear on 12–16 nodes of two recent platforms, with respect to improved implementation of FaST-LMM presented in an earlier work. This efficiency is attained through several enhancements on the original single-node version of FaST-LMM, together with the development of a message passing interface (MPI)-based version that ensures a balanced distribution of the workload as well as a multigraphics processing unit (GPU) module that can exploit the presence of multiple GPUs per node.

【 授权许可】

Unknown   

【 预 览 】
附件列表
Files Size Format View
RO201910258094526ZK.pdf 384KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:8次