Into the wild: Studying real user activity patterns to guide power optimizations for mobile architectures
By Alex Shye, Benjamin Scholbrock, G. Memik. Micro, 2009
390 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/7d9b1290facf0e35e1f84c84f60fbdab9380b54e
How researchers see this paper
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In Computer Networks and Communications
In Electrical and Electronic Engineering
In Hardware and Architecture
Citations in the corpus
- Quantifying the energy cost of data movement for emerging smart phone workloads on mobile platforms (2014, background): “[16] described a regression-based power estimation technique that can predict the power consumed by different components on a smart phone.”
- Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof (2012, neutral): “[55] and Zhang et al.”