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    HPC+Azure Environment for Bioinformatics Applications

    Access Status
    Fulltext not available
    Authors
    Sidhu, Amandeep
    Balakrishnan, Suresh
    Dhillon, S.
    Date
    2013
    Type
    Conference Paper
    
    Metadata
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    Citation
    Sidhu, Amandeep S. and Balakrishnan, Suresh Reuben and Dhillon, Sarinder K. 2013. HPC+Azure Environment for Bioinformatics Applications, in Sidhu, A.S. and Dhillon, S.K. and Rajaraman, K. and Wang, J.T.L. (ed), 7th IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Dec 18-21 2013, pp. 12-15. Shanghai, China: IEEE Computer Society.
    Source Title
    Proceedings of 7th IEEE International Conference on Bioinformatics and Biomedicine
    Source Conference
    7th IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2013)
    DOI
    10.1109/BIBM.2013.6732615
    ISBN
    9781479913107
    URI
    http://hdl.handle.net/20.500.11937/22844
    Collection
    • Curtin Research Publications
    Abstract

    In the past 20 years, huge flow of data, produced by the nonstop rise of computational power has led to a paradigm shift in large scale data processing mechanisms and computing architecture. As a result, human and computational resources are needed to aid data-intensive operations which will cause the high degree of storage and management expenses. An organized and standard approach is important to manage these issues with an architecture that able to scale into the predictable future. Instead of the fastest and largest single computer solution, economical clusters of computers can better manage and process all data. Most of the high-performance computing (HPC) systems need a huge amount of processing power and Windows Azure is capable of providing a huge quantity of processing power on demand. As the Windows HPC server and Windows Azure combine, the cloud and on-premises world are now able to function together. In this paper we explore a HPC+Azure implementation model and demonstrate by running a genome sequence assembly application.

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