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    Highly scalable algorithms for scheduling tasks and provisioning machines on heterogeneous computing systems

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    http://hdl.handle.net/10217/167055
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    Tarplee_colostate_0053A_12890.pdf (2.452Mb)
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    Abstract
    As high performance computing systems increase in size, new and more efficient algorithms are needed to schedule work on the machines, understand the performance trade-offs inherent in the system, and determine which machines to provision. The extreme scale of these newer systems requires unique task scheduling algorithms that are capable of handling millions of tasks and thousands of machines. A highly scalable scheduling algorithm is developed that computes high quality schedules, especially for large problem sizes. Large-scale computing systems also consume vast amounts of electricity, ...
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    Author(s)
    Tarplee, Kyle M., author; Maciejewski, Anthony A., advisor; Siegel, Howard Jay, committee member; Chong, Edwin, committee member; Bates, Dan, committee member

    Date Issued
    2015
    Format
    born digital; doctoral dissertations
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    • 2000-2019
    • Theses and Dissertations

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