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Codesign of architectures for automotive powertrain modules

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4 Author(s)
Xiaobo Hu ; Western Michigan Univ., Kalamazoo, MI, USA ; D'Ambrosio, J.G. ; Murray, B.T. ; Dah-Lain Tang

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.<>

Published in:

Micro, IEEE  (Volume:14 ,  Issue: 4 )