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The Modeling and Management of Computational Sprinting

Morris, Nathaniel Joseph

Abstract Details

2021, Doctor of Philosophy, Ohio State University, Computer Science and Engineering.
Sustainable computing, dark silicon and approximate computing have ushered a new era in which some processing capacity is available only as ephemeral bursts, a technique called computational sprinting. Computational sprinting speeds up query execution by increasing power usage, dropping tasks, precision scaling, and etc. for short bursts. Sprinting policy decides when and how long to sprint. Poor policies inflate response time significantly. However, sprinting alters query executions at runtime, creating a complex dependency between queuing and processing time. Sprinting can speed up query processing and reduce queuing delay, but it is challenging to set efficient policies. As sprinting mechanisms proliferate, system managers will need tools to set policies so that response time goals are met. I provide a method to measure the efficiency of sprinting policies and a framework to create response time models for sprinting mechanisms such as DVFS, CPU throttling, cache allocation, and core scaling. I compared sprinting policies used in competitive solutions with policies found using our models.
Christopher Stewart, PHD (Advisor)
Radu Teodorescu, PHD (Committee Member)
Xiaorui Wang, PHD (Committee Member)
Xiaodong Zhang, PHD (Committee Member)
125 p.

Recommended Citations

Citations

  • Morris, N. J. (2021). The Modeling and Management of Computational Sprinting [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1627007967334011

    APA Style (7th edition)

  • Morris, Nathaniel. The Modeling and Management of Computational Sprinting. 2021. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1627007967334011.

    MLA Style (8th edition)

  • Morris, Nathaniel. "The Modeling and Management of Computational Sprinting." Doctoral dissertation, Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1627007967334011

    Chicago Manual of Style (17th edition)