Local Alignment Tool Based on Hadoop Framework and GPU Architecture
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
With the rapid growth of next generation sequencing technologies, such as Slex, more and more data have been discovered and published.
To analyze such huge data the computational performance is an important issue.
Recently, many tools, such as SOAP, have been implemented on Hadoop and GPU parallel computing architectures.
BLASTP is an important tool, implemented on GPU architectures, for biologists to compare protein sequences.
To deal with the big biology data, it is hard to rely on single GPU.
Therefore, we implement a distributed BLASTP by combining Hadoop and multi-GPUs.
The experimental results present that the proposed method can improve the performance of BLASTP on single GPU, and also it can achieve high availability and fault tolerance.
American Psychological Association (APA)
Hung, Che-Lun& Hua, Guan-Jie. 2014. Local Alignment Tool Based on Hadoop Framework and GPU Architecture. BioMed Research International،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-480003
Modern Language Association (MLA)
Hung, Che-Lun& Hua, Guan-Jie. Local Alignment Tool Based on Hadoop Framework and GPU Architecture. BioMed Research International No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-480003
American Medical Association (AMA)
Hung, Che-Lun& Hua, Guan-Jie. Local Alignment Tool Based on Hadoop Framework and GPU Architecture. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-480003
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-480003