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Minimum Number of Timing Signoff Corners

Minimum Number of Timing Signoff Corners

Alexander Tetelbaum

287,48 €
IVA incluido
Disponible
Editorial:
Alexander Tetelbaum
Año de edición:
2024
Materia
Informática: cuestiones generales
ISBN:
9798224073528
287,48 €
IVA incluido
Disponible
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This unique book outlines a brand new approach how to timing the signoff of complex microchips with the minimum number of corners. It is the first book in my planned series of books on global and local on-chip variations (OCV) and statistical, Monte-Carlo-based methods of timing signoff.I have spent more than 7 years developing those new methods and now will share my results with the electronic design community. Each book will have a short version as a Kindle e-book that will be followed by a paperback/cover full version book with all important details.The books are mainly targeting microchip designers and software engineers in Electronic Design Automation (EDA) companies as well as companies that design and/or manufacture microchips. The number of timing signoff corners exponentially grows and makes microchip design very complex, time-consuming, or even impossible to close timing. Additionally, there is a toll on microchip performance due to conservatism, which increases with the corner number.All delay, dimension, and other absolute values are scaled (or normalized) and do not represent real values/parameters of any particular technology node or design. Initially, I focus on factors impacting the corner number and how to find the minimum number of traditional Power, Voltage, Temperature (PVT), and Resistance, Capacitance (RC) corners. Then, I describe a break-through method with the absolute minimum of the corner number where instead of PVT/RC corners I introduce 4 min/max timing delay corners (so-called slack corners). Then, I discuss a new approach on how to design for the maximum profit by setting a proper target for the timing yield Y during timing signoff.Finally, I discuss possible enhancements in signoff paradigms, methods, and statistical STA tools. The importance of these pseudo- and fully statistical Monte Carlo-based post-STA methods is to study OCV variations in detail and justify all OCV derates for STA tools no matter whether the PVT/RC corners signoff is or the 4-slack corners is used.

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