Are Smartphones Really Useful for Scientific Computing?

  • Juan Manuel Rodríguez
  • Cristian Mateos
  • Alejandro Zunino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7547)


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.


Smartphones Android Scientific Computing Benchmark Linpack SciMark 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Anokwa, Y., Hartung, C., Brunette, W., Borriello, G., Lerer, A.: Open source data collection in the developing world. Computer 42(10), 97–99 (2009)CrossRefGoogle Scholar
  2. 2.
    Blom, S., Book, M., Gruhn, V., Hrushchak, R., Köhler, A.: Write once, run anywhere – a survey of mobile runtime environments. In: International Conference on Grid and Pervasive Computing, pp. 132–137. IEEE Computer Society, Los Alamitos (2008)Google Scholar
  3. 3.
    Bull, J., Smith, L., Westhead, M., Henty, D., Davey, R.: A benchmark suite for high performance Java. Concurrency: Practice and Experience 12, 375–388 (2000)CrossRefGoogle Scholar
  4. 4.
    Dongarra, J., Luszczek, P., Petitet, A.: The LINPACK benchmark: Past, present and future. Concurrency and Computation: Practice and Experience 15(9), 803–820 (2003)CrossRefGoogle Scholar
  5. 5.
    Ghosh, P., Das, S.: Mobility-aware cost-efficient job scheduling for single-class grid jobs in a generic mobile grid architecture. Future Generation Computer Systems 26, 1356–1367 (2010)CrossRefGoogle Scholar
  6. 6.
    González-Castaño, F., Vales-Alonso, J., Livny, M., Costa-Montenegro, E., Anido-Rifón, L.: Condor grid computing from mobile handheld devices. ACM SIGMOBILE Mobile Computing and Communications Review 7(1), 117–126 (2003)CrossRefGoogle Scholar
  7. 7.
    Huynh, D., Knezevic, D., Peterson, J., Patera, A.: High-fidelity real-time simulation on deployed platforms. Computers & Fluids 43(1), 74–81 (2011)MathSciNetzbMATHCrossRefGoogle Scholar
  8. 8.
    Kumar, K., Lu, Y.-H.: Cloud Computing for mobile users: Can offloading computation save energy? Computer 43, 51–56 (2010)CrossRefGoogle Scholar
  9. 9.
    Li, C., Li, L.: Energy constrained resource allocation optimization for mobile grids. Journal of Parallel and Distributed Computing 70(3), 245–258 (2010)zbMATHCrossRefGoogle Scholar
  10. 10.
    Murray, D., Yoneki, E., Crowcroft, J., Hand, S.: The case for crowd computing. In: 2nd ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds, pp. 39–44. ACM Press, New York (2010)CrossRefGoogle Scholar
  11. 11.
    Paradiso, J., Starner, T.: Energy scavenging for mobile and wireless electronics. IEEE Pervasive Computing 4(1), 18–27 (2005)CrossRefGoogle Scholar
  12. 12.
    Rice, A., Hay, S.: Measuring mobile phone energy consumption for 802.11 wireless networking. Pervasive and Mobile Computing 6(6), 593–606 (2010)CrossRefGoogle Scholar
  13. 13.
    Rodriguez, J.M., Zunino, A., Campo, M.: Mobile grid SEAS: Simple Energy-Aware Scheduler. In: Proc. 3rd High-Performance Computing Symposium - 39th JAIIO (2010)Google Scholar
  14. 14.
    Rodriguez, J.M., Zunino, A., Campo, M.: Introducing mobile devices into Grid systems: A survey. International Journal of Web and Grid Services 7(1), 1–40 (2011)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Juan Manuel Rodríguez
    • 1
    • 2
  • Cristian Mateos
    • 1
    • 2
  • Alejandro Zunino
    • 1
    • 2
  1. 1.ISISTAN Research InstituteUNICEN UniversityTandilArgentina
  2. 2.Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Argentina

Personalised recommendations