CLUS_GPU-BLASTP: accelerated protein sequence alignment using GPU-enabled cluster

被引:6
|
作者
Rani, Sita [1 ]
Gupta, O. P. [2 ]
机构
[1] IKG Punjab Tech Univ, Kapurthala, Punjab, India
[2] Punjab Agr Univ, Sch Elect Engn & Informat Technol, Ludhiana, Punjab, India
来源
JOURNAL OF SUPERCOMPUTING | 2017年 / 73卷 / 10期
关键词
Bioinformatics; BLAST; Compute Unified Device Architecture (CUDA); Graphical processing unit (GPU); High-performance computing; Sequence alignment; ARCHITECTURES;
D O I
10.1007/s11227-017-2036-4
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Basic Local Alignment Search Tool (BLAST) is one of the most frequently used algorithms for bioinformatics applications. In this paper, an accelerated implementation of protein BLAST, i.e., CLUS_GPU-BLASTP for multiple query sequence processing in parallel, on graphical processing unit (GPU)-enabled high-performance cluster is proposed. The experimental setup consisted of a high-performance GPU-enabled cluster. Each compute node of the cluster consisted of two hex-core Intel, Xeon 2.93 GHz processors with 50 GB RAM and 12 MB cache. Each compute node was also equipped with a NVIDIA M2050 GPU. In comparison with the famous GPU-BLAST, our BLAST implementation is 2.1 times faster on single compute node. On a cluster of 12 compute nodes, our implementation gave a speedup of 13.2X. In comparison with standard single-threaded NCBI-BLAST, our implementation achieves a speedup ranging from 7.4X to 8.2X.
引用
收藏
页码:4580 / 4595
页数:16
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