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| Content Provider | ACM Digital Library |
|---|---|
| Author | Harrant, Manuel Kunze, Matthias Rafaila, Monica Nirmaier, Thomas zu Bexten, Volker Meyer Tristl, Markus Lau, Julia Pelz, Georg |
| Abstract | Automotive power micro-electronic devices in the past were low pin-count, low complexity devices. Robustness could be assessed by stressing the few operating conditions and by manual analysis of the simple analog circuitry. Nowadays complexity of Automotive Smart Power Devices is driven by the demands for energy efficiency and safety, which adds the need for additional monitoring circuitry, redundancy, power-modes, leading even to complex System-on-chips with embedded uC cores, embedded memory, sensors and other elements. Assessing the application robustness of this type of microelectronic devices goes hand-in-hand with exploring their verification space inside and to certain extends outside of the specification. While there are well established methods for standard functional verification, methods for application oriented robust verification are not yet available. In this paper we present promising directions and first results, to explore and assess device robustness through various pre- and post-Si verification and design exploration strategies, focusing on metamodeling, constrained-random verification and hardware-in-the-loop experiments, for exploration of the operating space. |
| Starting Page | 872 |
| Ending Page | 873 |
| Page Count | 2 |
| File Format | |
| ISBN | 9783981080186 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-03-12 |
| Publisher Place | San Jose |
| Access Restriction | Subscribed |
| Subject Keyword | Constrained-random-verification Metamodeling Automotive smart power ic Robustness Component |
| Content Type | Text |
| Resource Type | Article |
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