Advertisement

Conclusions and Future Directions

  • Sascha RoloffEmail author
  • Frank Hannig
  • Jürgen Teich
Chapter
Part of the Computer Architecture and Design Methodologies book series (CADM)

Abstract

In this chapter, we shortly summarize the goals and achievements of this book and possible future directions. In this book novel simulation techniques have been investigated that enable the validation and variants’ exploration of all essential features of a novel computing paradigm called invasive computing.

References

  1. 1.
    W. Huang et al., HotSpot: a compact thermal modeling methodology for early-stage VLSI design, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems 14.5 (2006), pp. 501–513.  https://doi.org/10.1109/TVLSI.2006.876103CrossRefGoogle Scholar
  2. 2.
    S. Pagani et al., MatEx: efficient transient and peak temperature computation for compact thermal models, in 18th Design, Automation and Test in Europe (DATE), Grenoble, France, 9–13 Mar 2015. (2015), pp. 1515–1520.  https://doi.org/10.7873/DATE.2015.0328
  3. 3.
    E. Glocker et al., Emulation of an ASIC power and temperature monitoring system (eTPMon) for FPGA prototyping, in Microprocessors and Microsystems 50 (2017), pp. 90–101. ISSN: 0141-9331.  https://doi.org/10.1016/j.micpro.2017.03.001CrossRefGoogle Scholar
  4. 4.
    A. Bogliolo, L. Benini, G. De Micheli, Regressionbased RTL power modeling. ACM Trans. Des. Autom. Electron. Syst. (TODAES) 5(3), 337–372 (2000).  https://doi.org/10.1145/348019.348081CrossRefGoogle Scholar
  5. 5.
    S. Sultan, and S. Masud, Rapid software power estimation of embedded pipelined processor through instruction level power model, in International Symposium on Performance Evaluation of Computer Telecommunication Systems (SPECTS), Istanbul, Turkey, 13–16 July 2009, vol. 41 (IEEE, 2009), pp. 27–34Google Scholar
  6. 6.
    K. Singh, M. Bhadauria, S.A. McKee, Real time power estimation and thread scheduling via performance counters, in ACM SIGARCH Computer Architure News 37.2 (2009), pp. 46–55. ISSN: 0163-5964.  https://doi.org/10.1145/1577129.1577137CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceFriedrich-Alexander-Universität Erlangen-NürnbergErlangenGermany

Personalised recommendations