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Higher-Order Modeling And Automated Design-Space Exploration (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Janneck, Jörn W. Esser, Robert |
| Description | An important part of the design of complex systems is the evaluation of the large number of potential alternative designs. Due to the number and complexity of design parameters, this design space is potentially huge and very complex. Automating part of the design exploration task can be an invaluable help in finding the optimal or near optimal settings of design parameters. The choice of the most appropriate exploration strategy depends on the nature of the parameters, such as their role in the model, the dimensionality and structure of the design space including the number and location of local optima, etc. This paper advocates the use of higher-order modeling techniques to express exploration strategies. This allows users to formulate them in the same set of languages used to model the original system. Hence the set of design space exploration tools can be extended and parameterized as easily as the model itself. In this paper a higher-order modeling langage is presented. As an example a number of simple exploration tools are modeled and applied to a small optimization problem. In: Proceedings High-Performance Computing (HPC |
| File Format | |
| Language | English |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Complex System Design Space Simple Exploration Tool Important Part Design Parameter Potential Alternative Design Local Optimum Invaluable Help Higher-order Modeling Exploration Strategy Large Number Automated Design-space Exploration Higher-order Modeling Langage Small Optimization Problem Optimal Setting Appropriate Exploration Strategy Original System Design Space Exploration Tool Design Exploration Task |
| Content Type | Text |
| Resource Type | Article |
