| 書目名稱 | Variation-Aware Analog Structural Synthesis |
| 副標(biāo)題 | A Computational Inte |
| 編輯 | Trent McConaghy,Pieter Palmers,Georges Gielen |
| 視頻video | http://file.papertrans.cn/981/980554/980554.mp4 |
| 概述 | A roadmap for analog CAD and its implementation algorithm-by-algorithm, presented by notable figures in analog CAD and analog design field who have experience in both the academia and industry.A compe |
| 叢書名稱 | Analog Circuits and Signal Processing |
| 圖書封面 |  |
| 描述 | This book describes new tools for front end analog designers, starting with global variation-aware sizing, and extending to novel variation-aware topology design. The tools aid design through automation, but more importantly, they also aid designer insight through automation. We now describe four design tasks, each more general than the previous, and how this book contributes design aids and insight aids to each. The ?rst designer task targeted is global robust sizing. This task is supported by a design tool that does automated, globally reliable, variation-aware s- ing (SANGRIA),and an insight-aiding tool that extracts designer-interpretable whitebox models that relate sizings to circuit performance (CAFFEINE). SANGRIA searches on several levels of problem dif?culty simultaneously, from lower cheap-to-evaluate “exploration” layers to higher full-evaluation “exploitation” layers (structural homotopy). SANGRIAmakes maximal use of circuit simulations by performing scalable data mining on simulation results to choose new candidate designs. CAFFEINE accomplishes its task by tre- ing function induction as a tree-search problem. It constrains its tree search space via a canonical-functio |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Analysis; algorithms; artificial intelligence; computational intelligence; database; integrated circuit; k |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-90-481-2906-5 |
| isbn_softcover | 978-94-007-2608-6 |
| isbn_ebook | 978-90-481-2906-5Series ISSN 1872-082X Series E-ISSN 2197-1854 |
| issn_series | 1872-082X |
| copyright | Springer Science+Business Media B.V. 2009 |
|Archiver|手機版|小黑屋|
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