Xilinx的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Industrial Internet of Things: Technologies and Research Directions

為了解決Xilinx的問題，作者 這樣論述：

Anand Sharma, received his Ph.D. degree in Engineering from MUST, Lakshmangarh, MTech from ABV-IIITM, Gwalior and BE from RGPV, Bhopal. He has been working with Mody University of Science and Technology, Lakshmangarh for last 10 years. He has more than 14 years of experience of teaching and research

. He has been invited to several reputed institutions ISI-Kolkata, IIT-Mumbai, IIT-Jodhpur, IIT-Delhi, RTU-Kota etc. He has pioneered research in areas of Information Security, IoT, WBAN and Machine Learning. He is a member of IEEE, IET, ACM, IE(India), Life Member of CSI and ISTE. He is serving as

secretary of CSI-Lakshmangarh Chapter and Student Branch Coordinator of CSI-MUST Student branch. He has more than 6 authored/edited books with national and international publishers. He has contributed more than 10 book chapters in books of reputed publishers. He has organized more than 15 conference

s / seminars and workshops. He has chaired more than 8 special sessions and delivered 6 Keynote addresses in international conferences. He is serving on advisory capacity in several international journals as Editorial Member and in International Conferences as Technical Programme committee / Organiz

ing committee.Sunil Kumar Jangir received his B.E. (Information Technology) with honors from the University of Rajasthan in July 2009. He received the M.Tech. degree with highest distinction in Software Engineering from Suresh Gyan Vihar University, Jaipur and the Ph.D. degree in Computer Science &

Engineering from Jecrc University, Jaipur. He is having 12+ years of teaching experience in the field of Computer science & Engineering. He has published more than 35 research papers in national and international conferences and journals. He has contributed more than 05 book chapters in books of rep

uted publishers. He is a member of IET, ACM and IEEE Dr. Jangir serves as a convener of 1st and 2nd ICITDA, 1st- NCITSA, Convener of JECRC Hackathon 1.0 and nominated 4 time as Institute SPOC for Smart India Hackathon. Dr. Jangir chaired no. of sessions in various international Conferences. He is cu

rrently an Associate Professor with the Department of Computer Science & Engineering, Anand International College of Engineering, Jaipur. Dr. Jangir Currently serving IEEE Student Branch Counselor. Dr. Jangir Currently served IEEE Student Branch Faculty coordinator of MUST. He was Asscoiated with CS

I-Inida in past. The main area of his research interest includes Computer Networks, Machine learning, Deep learning as well as routing protocols for ad- hoc networks. Currently, he is working in the area of IoT.Manish Kumar received the B.Tech. degree in Applied Electronics and Instrumentation Engin

eering from Biju Patnaik University, Rourkela, India, in 2010 and the M.Tech. Degree in Biomedical Engineering from the Manipal Univesity, Udupi, India, in 2013. He received Ph.D. degree in Electrical and Electronics Engineering, Birla Institute of Technology, Mesra, Ranchi, India, 2019. Worked as a

research associate in the Indian Institute of Technology, Patna, India. He is currently an Assistant Professor with the Department of Biomedical Engineering, Mody University of Science and Technology, Sikar, Rajasthan, India. His areas of interest are Medical Image Processing, Signal Processing, Ma

chine Learning and Nature Inspired Techniques. Dilip Kumar Choubey, is currently working as an Assistant Professor in the Department of Computer Science & Engineering, Indian Institute of Information Technology Bhagalpur, India since 9th November 2020. He worked as an Assistant Professor (Senior) in

the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India during 13th May 2019 to 06th November 2020, Worked as an Assistant Professor (On Contract) in NIT Patna, India during 30th March 2017 to 09 May 2019. He has worked as an Asst. Prof. in Lakshmi Narain Col

lege of Technology (L.N.C.T), Bhopal, India and Oriental College of Technology (O.C.T), Bhopal, India. He has more than 9 years of teaching and research experiences. He received his Ph.D. in Engineering from Birla Institute of Technology (B.I.T), Mesra, Ranchi, India in 2018. He received his M.Tech

degree in Computer Science and Engineering and B.E. degree in Information Technology from RGPV Bhopal, India in 2012 and 2010 respectively. He is an author of 2 books, 1 copyrights grant and has more than 45 reputed research publications in international journals, book chapters and conference procee

dings. He has also one project as a Co-PI funded by TEQUIP Collaborative Research Scheme. He is guiding 02 Ph.D. students, has guided many PG and UG projects. He has conducted several FDP/Workshop. He has delivered many expert talks as well as attended in FDP/Workshop/Conferences. He has been also t

he member of the organizing and technical program committees of many conferences and Workshop. He has reviewed many research papers in reputed journal/conferences/book chapters. He is the lifetime members of several professional bodies. His research interests include Artificial Intelligence, Machine

Learning, Deep Learning, Data Science, Soft Computing, Pattern Recognition, Bioinformatics, Data Mining, Database Management System, and IoT, etc.Tarun Shrivastava is Founder and CEO of Tishitu Electronics deals with Industrial, Govt and commercial product development and Tishitu Technology and res

earch private Ltd. deals with educational expertise where in team of 80 Professional connected in India and Abroad . Tishitu is registered with MSME iStart Rajasthan, Certified with ISO accreditation system with Scotland UK, & well renowned name in the domain of Engineering. He has developed Hydroge

n Fuel Cell for green energy fuel generation HHO Home gas 2010-2016. He also worked with company Omega Electronics Jaipur for various Educational products like Digital computer interface simulators for digital electronics VLSI kit for learning VHDL and Verilog programs to embedded in environment wit

h Xilinx for CPLD and FPGA interface.S.Balamurugan received his B.Tech., M.Tech., and PhD Degrees all in the field of Information Technology from Anna University, India. He received three Post-Doctoral Degrees-a Doctor of Letters(D.Litt., ), Doctor of Science (D.Sc., ) and Doctor of Technology(D.Tec

h., ). He has published 50 books, 200+ international journals/conferences and 60 patents to his credit. He is the Director-Research and Development, Intelligent Research Consultancy Services(iRCS), Coimbatore, Tamilnadu, India. He is serving as a research consultant to many Companies, Startups, SMEs

and MSMEs. He is the Editor-in-Chief of the Book Series Artificial Intelligence and Soft Computing for Industrial Transformation, Scrivener, John Wiley. Artificial Intelligence an Learning Techniques for Engineering, Bentham Sciences, Advances in Quantum Computing, Artificial Intelligence and Data

Sciences for Industrial Transformation, and Advances in IoT, Robotics and Cyber Physical Systems for Industrial Transformation, CRC Press, Taylor & Francis Group. He is the Editor-in-Chief of Information Science Letters, Natural Sciences Publishing, NSP and International Journal of Robotics and Arti

ficial Intelligence, PRIRS, USA. He is Associate Editor of IEICE Transactions on Information and Systems-Oxford University Press, Cluster Computing- Springer, Simulation- Sage Publishing, Technology and Healthcare- IOS Press, Intelligent IoT Computing, Inderscience, World Journal of Engineering, Eme

rald, International Journal of Intelligent Systems, Technologies and Application, Inderscience, International Journal of Renewable Energy Technology, Inderscience Publishers, Journal of Autonomous Intelligence, Frontier Scientific Publishing. He is also in editorial of International Journal of Intel

ligent Unmanned Systems, Emerald, International Journal of Automation and Control, Inderscience Publishers, International Journal of Society, Systems and Science, Inderscience Publishers, International Journal of System Dynamics Applications (IJSDA), IGI Global Publishers, International Journal of S

ervice Science, Management, Engineering, and Technology, IGI Global Publishers, International Journal of Knowledge and System Sciences, IGI Global Publishers and several other journals of Taylor & Francis, Inderscience, Emerald, IET, MDPI, De Gruyter and Lead Guest Editor of several special issues w

ith Springer, Elsevier and IEEE. He is the recipient of Rashtriya Vidhya Gourav Gold Medal Award and The Best Educationalist Award from Hon.Justice O.P Saxena, Supreme Court, New Delhi and the Former Chairman of Minority Council, New Delhi, India. He is the recipient of two Lifetime Achievement Awar

ds. He is the recipient of Dr.A.P.J.Abdul Kalam Sadhbhavana Award form Hon.Balmiki Prasad Singh, Former Governor of Sikkim, Jewel of India Award from Mr. Gurpreet Singh, General Secretary, India, Star of Asia Award from Mr. Korn Debbaransi, Former Dy. Prime Minister, Thailand, in an International Su

mmit at (Bangkok) Thailand & Pride of Asia Research Excellence Award from Hon.Anant. V.Sheth, Deputy Speaker- Goa Legislative Assembly, Best Director Award. He received the Active Member CSI National Award. He was awarded the Prestigious Mahatma Gandhi Leadership Award at House of Commons, British P

arliament, London, UK. The book he authored on Machine Learning and Deep Learning Algorithms using MATLAB and PYTHON won Best MATLAB Book for Beginners Award by Book Authority. Dr. S. Balamurugan won the CSI Young IT Professional Award. He is the winner of the National CSI Youth Award 2020, by Compu

ter Society of India. He is also the recipient of the Best Researcher Award, Certificate of Exceptionalism, Young Scientist Award, Best Young Researcher Award and Outstanding Scientist Award. His biography is listed in Marquis WHO’S WHO, New Jersey, USA. His professional activities include roles as

Editor-in-Chief/Associate Editor/ Editorial Board Member for more than 500+ International Journals/Conferences of high repute and impact. He has been invited as Chief Guest/Resource Person/Keynote Plenary Speaker in many reputed Universities and Colleges at National and International Levels. His res

earch interests include Artificial Intelligence, Augmented Reality, Internet of Things, Big Data Analytics, Cloud Computing, and Wearable Computing. He is a life member of ACM, IEEE, ISTE and CSI.

Xilinx進入發燒排行的影片

可程式化邏輯閘陣列加速之期貨市場隱含波動率計算器

為了解決Xilinx的問題，作者李宇凡 這樣論述：

隱含波動率是在金融市場中一個重要的指標，用於判斷市場行情的趨勢。因此透過減少計算的延遲，可以幫助使用者掌握實際金融市場的狀況。在這篇論文中，我們設計了用高階合成的方式，加速我們開發模組功能的過程，也能夠與使用基於場效可程式化邏輯閘陣列的高頻交易系統結合使用。設計時使用了變數變換，減少重複計算的次數。並且改良傳統的二分法，發揮場效可程式化邏輯閘陣列平行運算的優勢，一次計算一百組布萊克-休斯模型，加速收斂逼近的結果。使用浮點數常數儲存，避免浪費過多的計算時間。最後則針對累積正態分布函數化簡，透過誤差函數表示，並使用漸進展開的方式進行逼近。本篇論文針對此模組功能進行硬體測試，使用臺灣證券交易所股價

指數期貨當作測試資料來驗證此模組。經實驗結果得到和軟體程式計算的結果一致，除此之外，執行在場效可程式化邏輯閘陣列上計算的延遲約為600奈秒，而計算結果與真實情況的均方誤差約為5.76*10^(-6)，平均絕對誤差約為2.23*10^(-3)。

Vivado/Tcl零基礎入門與案例實戰

為了解決Xilinx的問題，作者高亞軍 這樣論述：

本書既是一本有關Tcl語言程式設計的書籍，又是一本對在Vivado中應用Tcl的實踐經驗總結的書籍。全書分為兩部分：第一部分為基礎部分，以Tcl基礎知識為主，包括第1～9章，重在理論；第二部分為應用部分，以Tcl在Vivado中的應用為主，包括第10～14章，重在實踐。   同時，本書給出了354個Tcl腳本的代碼示例，結合49個表格、171張圖片説明讀者深入理解知識點。無論Tcl初學者，還是已掌握Tcl精髓的工程師，只要想將Tcl得心應手地應用於Vivado設計與開發，都會從本書中受益。   本書可供電子工程領域內的本科高年級學生和研究生參考，也可供FPGA工程師和自學者參考。

高亞軍，電路與系統專業碩士，FPGA技術分享者，設計優化、時序收斂專家，Vivado工具使用專家，Xilinx資深戰略應用工程師。多年來使用Xilinx FPGA實現數位信號處理演算法，對Xilinx FPGA器件架構、開發工具Vivado/Vitis HLS/System Generator有著深厚的理論基礎和實戰經驗。主要著作：2011年出版圖書《基於FPGA的數位信號處理》2012年發佈網路視頻課程：Vivado入門與提高2015年出版圖書《基於FPGA的數位信號處理（第2版）》2016年出版圖書《Vivado從此開始》2016年發佈網路視頻課程：跟Xilinx SAE學HLS2

020年出版圖書《Vivado從此開始（進階篇）》自2018年創建FPGA技術分享公眾號：TeacherGaoFPGAHub後，每週更新兩篇原創文章，累計發表原創文章280餘篇，獲得大量粉絲的認可和讚譽。 第1部分 基 礎 部 分 第1章 Tcl基礎知識 2 1.1 什麼是Tcl 2 1.2 Tcl腳本的構成 3 1.3 變數賦值 4 1.4 變數置換 6 1.5 命令置換 10 1.6 反斜線置換 11 1.7 深入理解Tcl中的置換 12 1.8 雙引號與花括弧 13 1.9 注釋與續行 15 1.10 本章小結 18 第2章 運算式 19 2.1 運算式的構成要素 1

9 2.2 算術操作符 20 2.3 關係操作符 21 2.4 邏輯操作符 22 2.5 按位操作符 23 2.6 選擇操作符 24 2.7 數學函數 25 2.8 字串操作 28 2.9 本章小結 29 第3章 字串 30 3.1 字串的表示 30 3.2 字串的類型 31 3.3 字串的長度與索引 32 3.4 字元的獲取 33 3.5 字串的添加 34 3.6 字元的刪除 34 3.7 字元的替換 35 3.8 字串的比較 36 3.9 字串的簡單搜索 37 3.10 字串的匹配 38 3.11 格式化輸出 40 3.12 與字串相關的其他命令 44 3.13 本章小結 45 第4章 列

表 47 4.1 創建列表 47 4.2 清單長度與清單索引 49 4.3 獲取清單元素 52 4.4 添加清單元素 54 4.5 刪除清單元素 56 4.6 替換清單元素 57 4.7 搜索清單元素 58 4.8 對清單元素排序 61 4.9 字串和清單之間的轉換 62 4.10 in和ni操作符 63 4.11 foreach命令 65 4.12 本章小結 68 第5章 陣列 69 5.1 創建陣列 69 5.2 獲取陣列中的元素 70 5.3 刪除陣列中的元素 72 5.4 陣列與清單之間的轉換 73 5.5 二維陣列 74 5.6 本章小結 75 第6章 流程控制 76 6.1 if命

令 76 6.2 switch命令 79 6.3 while命令 83 6.4 for命令 85 6.5 source命令 87 6.6 本章小結 88 第7章 過程 89 7.1 過程的構成 89 7.2 過程的參數名列表 90 7.3 過程的返回值 93 7.4 區域變數與全域變數 96 7.5 模擬引用 98 7.6 陣列用作參數或返回值 99 7.7 upvar命令 102 7.8 本章小結 106 第8章 命名空間 107 8.1 創建命名空間 107 8.2 創建命名空間變數 111 8.3 命名空間變數的作用域 112 8.4 訪問命名空間變數 114 8.5 從命名空間導入和匯

出命令 116 8.6 創建集合命令 118 8.7 本章小結 119 第9章 訪問檔 120 9.1 操縱檔案名和目錄名 120 9.2 當前工作目錄和目錄內容 121 9.3 處理磁片上的檔 123 9.4 獲取檔資訊 125 9.5 讀文件 127 9.6 寫文件 129 9.7 處理CSV文件 130 9.8 本章小結 134 第2部分 應用部分 第10章 Vivado設計流程管理 138 10.1 Vivado對Tcl的支持 138 10.2 理解Vivado的設計流程 141 10.3 理解Vivado的兩種工作模式 146 10.4 Project模式 147 10.5 Non

-Project模式 154 10.6 掃描策略 164 10.7 本章小結 169 第11章 Vivado設計資源管理 170 11.1 管理資源要素 170 11.2 管理HDL代碼文件 171 11.3 管理約束文件 176 11.4 管理IP文件 179 11.5 本章小結 183 第12章 Vivado設計分析 184 12.1 FPGA晶片架構中的物件 184 12.2 網表中的物件 192 12.3 時鐘分析 204 12.4 時序分析 206 12.5 品質分析 212 12.6 資源利用率分析 221 12.7 邏輯級數分析 222 12.8 複雜度與擁塞分析 224 12.

9 扇出分析 226 12.10 UFDM分析 229 12.11 跨時鐘域路徑分析 230 12.12 約束分析 232 12.13 本章小結 235 第13章 Vivado設計複用 236 13.1 增量編譯 236 13.2 複用關鍵寄存器位置資訊 240 13.3 複用Block的位置資訊 242 13.4 複用關鍵路徑的佈局佈線資訊 245 13.5 本章小結 248 第14章 其他 249 14.1 模組化綜合技術 249 14.2 反復執行物理優化 251 14.3 合理使用過約束 253 14.4 使用IOB寄存器 255 14.5 編輯網表 256 14.6 修改初始值 25

8 14.7 本章小結 260

針對特定處理器平台部署神經網路模型之研究

為了解決Xilinx的問題，作者戴少庠 這樣論述：

深度學習的進步，使的各個領域開始利用深度學習達成各種事情，如語音辨識、客戶服務、電腦視覺、建議引擎，各種以往需要透過人完成的事情都被取代，深度學習被廣泛應用。隨著科技的發展，半導體技術的提升，晶片的尺寸越做越小，嵌入式裝置也越來越多，運算能力也快速提升，物聯網的裝置數量越來越多，每台機器都要透過網路傳輸至雲端運算造成網路的負載上升，同樣若所有的物聯網的資訊都要傳到雲端上也造成了隱私上的問題，使得運算從雲端漸漸轉為邊緣端的趨勢，若能運用深度學習的運算效果，能提升邊緣裝置辨識能力，但在邊緣端使用深度學習將資料分析，增加嵌入式裝置的負載，因此許多研究都在探討如何在這種資源受限的裝置上運行深度學習的

網路模型。 本論文使用開源的深度學習框架部署神經網路模型，並分析執行程式過程遇到的瓶頸最後利用處理器上特殊指令將該部分加速，第一部分部署神經網路模型流程，第二部分利用分析軟體分析模型運行的瓶頸並透過處理器的指令加速運行，達成部署以及優化。