TY - GEN
T1 - Separated by birth
T2 - 18th International Workshop on Mobile Computing Systems and Applications, HotMobile 2017
AU - Srinivasa, Guru Prasad
AU - Begum, Rizwana
AU - Haseley, Scott
AU - Hempstead, Mark
AU - Challen, Geoffrey
N1 - Publisher Copyright:
© 2017 ACM.
PY - 2017/2/21
Y1 - 2017/2/21
N2 - Smartphone consumers, app developers, and even mobile systems researchers operate under the assumption that performance differences between identical smartphones should be small. Consumers pick a model to purchase and don't consider that the specific device they leave the store with may vary quite dramatically from the identical models it sat next to on the shelf. App rating systems typically collect the model from reviewers, but not more detailed information-again, assuming that all instances of a particular model perform similarly. Even mobile systems researchers will conduct studies using small numbers of devices that fail to account or control for inherent differences between identical phones. Unfortunately seemingly-identical smartphones can in fact have very different performance characteristics. Note that we are not referring to differences in battery or Flash performance caused over time by wear. Inherent differences would separate two brand-new phones still in the original packaging. Our experiments show up to 20% performance and energy consumption differences between otherwise identical devices. These differences result from process variation in the manufacture of smartphone CPUs, which causes some CPUs to perform much more poorly than others. This paper explains the causes of this variation, measures its impacts, and discusses implications for smartphone researchers, software developers, and consumers.
AB - Smartphone consumers, app developers, and even mobile systems researchers operate under the assumption that performance differences between identical smartphones should be small. Consumers pick a model to purchase and don't consider that the specific device they leave the store with may vary quite dramatically from the identical models it sat next to on the shelf. App rating systems typically collect the model from reviewers, but not more detailed information-again, assuming that all instances of a particular model perform similarly. Even mobile systems researchers will conduct studies using small numbers of devices that fail to account or control for inherent differences between identical phones. Unfortunately seemingly-identical smartphones can in fact have very different performance characteristics. Note that we are not referring to differences in battery or Flash performance caused over time by wear. Inherent differences would separate two brand-new phones still in the original packaging. Our experiments show up to 20% performance and energy consumption differences between otherwise identical devices. These differences result from process variation in the manufacture of smartphone CPUs, which causes some CPUs to perform much more poorly than others. This paper explains the causes of this variation, measures its impacts, and discusses implications for smartphone researchers, software developers, and consumers.
UR - http://www.scopus.com/inward/record.url?scp=85016060606&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016060606&partnerID=8YFLogxK
U2 - 10.1145/3032970.3032982
DO - 10.1145/3032970.3032982
M3 - Conference contribution
AN - SCOPUS:85016060606
T3 - HotMobile 2017 - Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications
SP - 103
EP - 108
BT - HotMobile 2017 - Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications
PB - Association for Computing Machinery
Y2 - 21 February 2017 through 22 February 2017
ER -