Early work on modeling computational sprinting

Conference paper (2017)

Authors

Nathaniel Morris Ohio State University
Christopher Stewart Ohio State University
Robert Birke Zurich Lab
Lydia Y. Chen Zurich Lab
Jaimie Kelley Denison University
Affiliation
External organisation
Simulation Resource management Prediction accuracy Computational sprinting CPU throttling Queuing models
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Published Date

24-09-2017

Language

English

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Abstract

Ever tightening power caps constrain the sustained processing speed of modern processors. With computational sprinting, processors reserve a small power budget that can be used to increase processing speed for short bursts. Computational sprinting speeds up query executions that would otherwise yield slow response time. Common mechanisms used for sprinting include DVFS, core scaling, CPU throttling and application-specific accelerators.