Integrated Circuit Design: IC Design Flow and Project-Based Learning
暫譯: 集成電路設計：IC 設計流程與專案導向學習

本教科書提供基於HDL的範例、實驗和專案，涵蓋真實產業需求，如設計/編碼規則和方法論。它將幫助讀者建立HDL程式碼與硬體電路之間的聯繫。

Dr. Xiaokun Yang currently serves as an Associate Professor at the College of Science and Engineering at the University of Houston Clear Lake, located in Houston, Texas. Additionally, since 2022, he has held the role of Affiliate Faculty at Lawrence Berkeley National Laboratory, situated in Berkeley, California. Dr. Yang earned his Ph.D. in the Department of Electrical and Computer Engineering at Florida International University (FIU) in the spring of 2016. He also brings extensive industry experience, having worked as ASIC Design and Verification Engineer at Advanced Micro Devices (AMD) and China Electronic Corporation (CEC) during 2007-2012. Dr. Yang's research interests center on specialized hardware design and acceleration for future high-performance computing, design automation for numerical hardware and machine learning, and advanced high-performance SoC architecture. As the first author or corresponding author, Dr. Yang has published more than 45 papers including 3 patents, more than 15 peer-review journals, and more than 30 prestigious international conferences. He has served as guest editor and journal reviewers including IEEE Transactions on Computer, IEEE Transactions on VLSI, IEEE Transactions on Education, ACM Transactions on Architecture and Code Optimization, and MDPI Micromachines, and numerous conference committees including ISQED and ISVLSI.

楊小琨博士目前擔任德克薩斯州休士頓的休士頓克萊爾湖大學科學與工程學院的副教授。此外，自2022年以來，他還擔任加州伯克利的勞倫斯伯克利國家實驗室的附屬教員。楊博士於2016年春季在佛羅里達國際大學（FIU）的電機與計算機工程系獲得博士學位。他擁有豐富的產業經驗，曾於2007年至2012年擔任超微半導體（AMD）和中國電子公司（CEC）的ASIC設計與驗證工程師。楊博士的研究興趣集中在未來高效能計算的專用硬體設計與加速、數值硬體與機器學習的設計自動化，以及先進的高效能系統單晶片（SoC）架構。作為第一作者或通訊作者，楊博士已發表超過45篇論文，包括3項專利、超過15篇同行評審期刊文章，以及超過30場國際知名會議論文。他曾擔任多個期刊的客座編輯和審稿人，包括《IEEE計算機學報》、《IEEE VLSI學報》、《IEEE教育學報》、《ACM架構與代碼優化學報》以及《MDPI微型機器》，並參與多個會議委員會，包括ISQED和ISVLSI。