| 000 | 02863nam a22005055i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-0445-3 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083732.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 110705s2011 xxu| s |||| 0|eng d | ||
| 020 |
_a9781461404453 _9978-1-4614-0445-3 |
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| 024 | 7 |
_a10.1007/978-1-4614-0445-3 _2doi |
|
| 050 | 4 | _aTK7888.4 | |
| 072 | 7 |
_aTJFC _2bicssc |
|
| 072 | 7 |
_aTEC008010 _2bisacsh |
|
| 082 | 0 | 4 |
_a621.3815 _223 |
| 100 | 1 |
_aCao, Yu. _eauthor. |
|
| 245 | 1 | 0 |
_aPredictive Technology Model for Robust Nanoelectronic Design _h[electronic resource] / _cby Yu Cao. |
| 264 | 1 |
_aBoston, MA : _bSpringer US, _c2011. |
|
| 300 |
_aXV, 173 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aIntegrated Circuits and Systems, _x1558-9412 |
|
| 505 | 0 | _a1. Introduction -- 2. Predictive Technology Model of Conventional CMOS Devices -- 3. Predictive Technology Model of Enhanced CMOS Devices -- 4. Statistical Extraction and Modeling of CMOS Variability -- 5. Modeling of Temporal Reliability Degradation -- 6. Modeling of Interconnect Parasitics -- 7. Design Benchmark with Predictive Technology Model -- 8. Predictive Process Design Kits -- 9. Predictive Modeling of Carbon Nanotube Devices -- 10. Predictive Technology Model for Future Nanoelectronic Design. | |
| 520 | _aPredictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design research. Through physical derivation and technology extrapolation, PTM is the de-factor device model used in electronic design. This work explains the systematic model development and provides a guide to robust design practice in the presence of variability and reliability issues. Having interacted with multiple leading semiconductor companies and university research teams, the author brings a state-of-the-art perspective on technology scaling to this work and shares insights gained in the practices of device modeling. | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aOperating systems (Computers). | |
| 650 | 0 | _aElectronics. | |
| 650 | 0 | _aSystems engineering. | |
| 650 | 0 | _aNanotechnology. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aCircuits and Systems. |
| 650 | 2 | 4 | _aElectronics and Microelectronics, Instrumentation. |
| 650 | 2 | 4 | _aNanotechnology. |
| 650 | 2 | 4 | _aPerformance and Reliability. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9781461404446 |
| 830 | 0 |
_aIntegrated Circuits and Systems, _x1558-9412 |
|
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4614-0445-3 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c106251 _d106251 |
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