• 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