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형식
킨들
페이지
589
언어
영어
출판됨
Jul 8, 2014
출판사
Springer
설명
In the evolving landscape of nanometer VLSI designs, understanding statistical performance analysis is crucial. This work delves into the intricacies of how process variations can significantly affect chip performance, especially as technology scales down. The authors, experts in the field, provide an insightful examination of modern modeling techniques that can preemptively address these variances.
Through a detailed exploration of both theoretical and practical aspects, the book addresses the challenges posed by uncertainties in chip design and fabrication. Each chapter sheds light on various methods of quantifying performance and reliability in the face of unpredictable variations, equipping engineers and researchers with the knowledge needed to enhance design robustness.
As the future of chip design grows increasingly complex, this resource stands out, aiding professionals to navigate through intensive statistical methods efficiently. The comprehensive approach to analyzing and modeling techniques ensures that readers can apply these concepts to real-world scenarios, ultimately paving the way for more reliable and optimized VLSI systems.
Through a detailed exploration of both theoretical and practical aspects, the book addresses the challenges posed by uncertainties in chip design and fabrication. Each chapter sheds light on various methods of quantifying performance and reliability in the face of unpredictable variations, equipping engineers and researchers with the knowledge needed to enhance design robustness.
As the future of chip design grows increasingly complex, this resource stands out, aiding professionals to navigate through intensive statistical methods efficiently. The comprehensive approach to analyzing and modeling techniques ensures that readers can apply these concepts to real-world scenarios, ultimately paving the way for more reliable and optimized VLSI systems.