John T. Olson

Hardware/Software Partitioning Using Bayesian Belief Networks

In heterogeneous system design, partitioning of the functional specifications into hardware (HW) and software (SW) components is an important procedure. Often, an HW platform is chosen, and the SW is mapped onto the existing partial solution, or the actual partitioning is performed in an ad hoc manner. The partitioning approach presented is novel in that it uses Bayesian belief networks (BBNs) to categorize functional components into HW and SW classifications. The BBNpsilas ability to propagate evidence permits the effects of a classification decision that is made about one function to be felt throughout the entire network. In addition, because BBNs have a belief of hypotheses as their core, a quantitative measurement as to the correctness of a partitioning decision is achieved. A methodology for automatically generating the qualitative structural portion of BBN and the quantitative link matrices is given. 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, which is called model-based codesign.

Towards an integrated, model-based codesign environment

The paper describes desiderata for an environment to implement the model based codesign methodology. A brief summary of model based codesign is given, followed by a discussion of related work. The services and capabilities required of a design environment are given within the concept of a CAD framework. The design flow that realizes model base codesign is presented. Attention is given to the required activities at each step and to the flow of design information between design steps. The design flow described here focuses on real time embedded systems. It covers engineering activities from requirements documentation to the physical realization of the design. Emphasis is placed on modeling and simulation to support automated design reasoning. Considerations related to tool support and tool integration are also given.

Framework for hardware/software partitioning utilizing Bayesian belief networks

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 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 co-design.

Computer-Aided Production Planning

The sections in this article are 1 Knowledge Representation 2 Simulation Methodology 3 Automatic Simulation Model Generation 4 Conclusion 5 Appendix 1. Dynamic Models