Design for Manufacturability and Statistical Design: A Constructive ApproachSpringer Science & Business Media, 2007. gada 28. okt. - 316 lappuses Design for Manufacturability and Statistical Design: A Constructive Approach provides a thorough treatment of the causes of variability, methods for statistical data characterization, and techniques for modeling, analysis, and optimization of integrated circuits to improve yield. The objective of the constructive approach developed in this book is to formulate a consistent set of methods and principles necessary for rigorous statistical design and design for manufacturability from device physics to large-scale circuit optimization. The segments of the book are devoted, respectively, to
Design for Manufacturability and Statistical Design: A Constructive Approach presents an overview of the methods that need to be mastered for state-of-the-art design for manufacturability and statistical design methodologies. It is an important reference for practitioners and students in the field of computer-aided design of integrated circuits. |
No grāmatas satura
1.–5. rezultāts no 29.
... scaling of CMOS technologies brought about the increasing magnitude of variability of key parameters affecting the performance of integrated circuits. The large variation can be attributed to several factors. The first is the rise of ...
... scaling, predicted and - to a certain extent even driven - by Moore's law, and the vastly increased complexity of modern nano-meter scale processes and the billion-device circuits they allow, there came a necessary separation between ...
... scaling has led to the increasing complexity in the semiconductor process and in its interaction with design. This has in turn caused an increase in the number and magnitude of systematic sources of mismatch between simulation models ...
... , endangers our industry's ability to deliver future design improvements consistent with historical trends. Furthermore, many phenomena are increasing in magnitude as scaling continues, requiring more modeling and analysis 4 1 INTRODUCTION.
A Constructive Approach Michael Orshansky, Sani Nassif, Duane Boning. in magnitude as scaling continues, requiring more modeling and analysis re- sources [73]. The concrete understanding of variability, uncertainty, and their interaction ...
Saturs
1 | |
BACK END VARIABILITY 43 | 42 |
ENVIRONMENTAL VARIABILITY | 59 |
TEST STRUCTURES FOR VARIABILITY 85 | 84 |
STATISTICAL FOUNDATIONS OF DATA ANALYSIS | 101 |
Design Techniques for Systematic Manufacturability | 124 |
VARIABILITY | 152 |
STATISTICAL CIRCUIT ANALYSIS 167 | 166 |
STATISTICAL STATIC TIMING ANALYSIS | 201 |
LEAKAGE VARIABILITY AND JOINT PARAMETRIC | 239 |
PARAMETRIC YIELD OPTIMIZATION | 251 |
CONCLUSIONS 279 | 278 |
References | 291 |
Index | 309 |
Citi izdevumi - Skatīt visu
Design for Manufacturability and Statistical Design: A Constructive Approach Michael Orshansky,Sani Nassif,Duane Boning Priekšskatījums nav pieejams - 2007 |
Design for Manufacturability and Statistical Design: A Constructive Approach Michael Orshansky,Sani Nassif,Duane Boning Priekšskatījums nav pieejams - 2010 |