Early work on modeling computational sprinting
Nathaniel Morris (The Ohio State University)
Christopher Stewart (The Ohio State University)
Robert Birke (Zurich Lab)
Lydia Y. Chen (Zurich Lab)
Jaimie Kelley (Denison University)
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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.
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