Abstract | ||
---|---|---|
To guide design decisions in developing an optimized architecture for automotive powertrain modules, we relied upon analysis, a key to hardware-software codesign. Complicating such efforts are ongoing refinements to the underlying algorithms, ever stricter government standards, reusability demands, and late-arriving specifications for the controlled components. In our approach, configuration-level analysis lets us quickly and efficiently explore a large design space. Behavioral-level analysis validates decisions and optimizes hardware and software. Our codesign methodology extends to similar real-time embedded systems. |
Year | DOI | Venue |
---|---|---|
1994 | 10.1109/40.296154 | IEEE Micro |
Field | DocType | Volume |
Automotive electronics,Design space,Powertrain,Architecture,Computer science,Parallel computing,Real-time computing,Software,Programmable logic controller,Reusability,Automotive industry | Journal | 14 |
Issue | ISSN | Citations |
4 | 0272-1732 | 18 |
PageRank | References | Authors |
1.16 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaobo Sharon Hu | 1 | 2004 | 208.24 |
Joseph G. D'Ambrosio | 2 | 117 | 20.20 |
Brian T. Murray | 3 | 473 | 43.91 |
Dah-Lain Tang | 4 | 18 | 1.16 |