DocumentCode
1676524
Title
Biosequence Analysis Using Intel® Xeon Phi
Author
Sinha, Pradeep ; Misra, Goldi ; Vikranman, Deepu ; Das, Aruneema ; Desai, Shaishav ; Pawar, Sanjay ; Shewale, Kalyani
Author_Institution
HPCS, C-DAC, Pune, India
fYear
2013
Firstpage
497
Lastpage
499
Abstract
Due to the ever-increasing size of sequence databases, it has become clear that faster techniques must be employed to effectively perform biological sequence analysis in a reasonable amount of time. In bioinformatics, protein sequence alignment is one of the fundamental tasks. MPI-HMMER is one of the applications that perform this kind of bio-sequence analysis. Since the growth of biological data is exponential, there is an ever-increasing demand for computational power. This paper discusses the behavior of MPI-HMMER on hybrid architecture by using native compilation technique on Intel Xeon Phi.
Keywords
bioinformatics; coprocessors; message passing; proteins; Intel Xeon Phi; MPI-HMMER; bioinformatics; biological sequence analysis; native compilation technique; protein sequence alignment; Computer architecture; Coprocessors; Databases; Hidden Markov models; Programming; Protein sequence; Software; High Performance Computing; Intel Xeon Phi; MPI; MPI-HMMER; Native Compilation; Offload Compilation; Uniprot_sprot; coprocessor; est; pataa;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling Symposium (EMS), 2013 European
Conference_Location
Manchester
Print_ISBN
978-1-4799-2577-3
Type
conf
DOI
10.1109/EMS.2013.83
Filename
6779894
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