Name
Abstract | ||
|---|---|---|
Bottom-up synthesis approaches based on the hierarchical composition of performance models have been proposed as a promising alternative to conventional top-down hierarchical synthesis approaches. This paper discusses problems related to the context-dependence of performance models and proposes possible solutions. Techniques for the composition of multi-dimensional performance models so that the efficiency of the design space exploration is maximized are also discussed. An active filter is used to demonstrate the accuracy and efficiency of the techniques discussed here. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISCAS.2015.7169053 | international symposium on circuits and systems |
Keywords | Field | DocType |
Hierarchical design methodologies,Pareto-optimal fronts,evolutionary algorithms | Convergence (routing),Active filter,Computer science,Search engine indexing,Evolutionary computation,Electronic engineering,Sorting,Artificial intelligence,Computer engineering,Design space exploration,Machine learning | Conference |
ISSN | Citations | PageRank |
0271-4302 | 1 | 0.36 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| manuel velascojimenez | 1 | 2 | 1.09 |
| R. Castro-López | 2 | 79 | 18.20 |
| Elisenda Roca | 3 | 129 | 26.84 |
| Francisco V. Fernández | 4 | 234 | 40.82 |