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Are smartphones really useful for scientific computing?

Published: 05 December 2011 Publication History

Abstract

Smartphones are a new kind of mobile devices that allow users to take their office anywhere and anytime with them. The number of smartphones is rapidly growing. Most of the time their capabilities are underused, therefore several authors have studied how to exploit smartphones for assisting scientific computing. Yet, as far as we know, there is no study aimed at determining whether smartphones can do a significant contribution to this area as resource providers. This paper shows that smartphones are not that slow when compared to standard mobile devices, such as notebooks. Furthermore, a notebook running on battery only performed 8 times more work than a low-end smartphone before their batteries run out. However, the low-end smartphone is 145 times slower than the notebook, and the smartphone battery has less capacity than the notebook battery. Since smartphones can execute large amount of work running on battery, we think that smartphones can have a major role in building the next-generation HPC infrastructures.

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Published In

cover image Guide Proceedings
ADNTIIC'11: Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
December 2011
261 pages
ISBN:9783642340093
  • Editors:
  • Francisco Cipolla-Ficarra,
  • Kim Veltman,
  • Domen Verber,
  • Miguel Cipolla-Ficarra,
  • Florian Kammüller

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 05 December 2011

Author Tags

  1. android
  2. benchmark
  3. linpack
  4. scientific computing
  5. scimark
  6. smartphones

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  • (2017)A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile GridsJournal of Grid Computing10.1007/s10723-016-9387-615:1(55-80)Online publication date: 1-Mar-2017
  • (2016)Battery-aware centralized schedulers for CPU-bound jobs in mobile GridsPervasive and Mobile Computing10.1016/j.pmcj.2015.08.00329:C(73-94)Online publication date: 1-Jul-2016
  • (2015)Mobile Computations with Surrounding DevicesACM Transactions on Embedded Computing Systems10.1145/265621414:2(1-25)Online publication date: 17-Feb-2015
  • (2014)Energy-efficient job stealing for CPU-intensive processing in mobile devicesComputing10.1007/s00607-012-0245-596:2(87-117)Online publication date: 1-Feb-2014

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