Framework for hardware/software partitioning utilizing Bayesian belief networks

John T. Olson, Jerzy W Rozenblit

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In heterogeneous systems design, partitioning of the functional specifications into hardware and software components is an important procedure. Often, a hardware platform is chosen and the software is mapped onto the existing partial solution, or the actual partitioning is performed in an ad hoc manner. The partitioning approach presented here is novel in that it uses Bayesian Belief Networks (BBNs) to categorize functional components into hardware and software classifications. First, the motivation and background material are presented. Then, a case study of a programmable thermostat is developed to illustrate the BBN approach. The outcomes of the partitioning process are discussed and placed in a larger design context, called model-based codesign.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Editors Anon
PublisherIEEE
Pages3983-3988
Number of pages6
Volume4
StatePublished - 1998
EventProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA
Duration: Oct 11 1998Oct 14 1998

Other

OtherProceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)
CitySan Diego, CA, USA
Period10/11/9810/14/98

Fingerprint

Bayesian networks
Hardware
Thermostats
Systems analysis
Specifications

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Olson, J. T., & Rozenblit, J. W. (1998). Framework for hardware/software partitioning utilizing Bayesian belief networks. In Anon (Ed.), Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 4, pp. 3983-3988). IEEE.

Framework for hardware/software partitioning utilizing Bayesian belief networks. / Olson, John T.; Rozenblit, Jerzy W.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. ed. / Anon. Vol. 4 IEEE, 1998. p. 3983-3988.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Olson, JT & Rozenblit, JW 1998, Framework for hardware/software partitioning utilizing Bayesian belief networks. in Anon (ed.), Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. vol. 4, IEEE, pp. 3983-3988, Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5), San Diego, CA, USA, 10/11/98.
Olson JT, Rozenblit JW. Framework for hardware/software partitioning utilizing Bayesian belief networks. In Anon, editor, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 4. IEEE. 1998. p. 3983-3988
Olson, John T. ; Rozenblit, Jerzy W. / Framework for hardware/software partitioning utilizing Bayesian belief networks. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. editor / Anon. Vol. 4 IEEE, 1998. pp. 3983-3988
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