Advancing VLSI Through Machine Learning: Innovations and Research Perspectives
暫譯: 透過機器學習推進 VLSI：創新與研究視角
Tripathi, Abhishek Narayan, Padhy, Jagana Bihari, Singh, Indrasen
- 出版商: CRC
- 出版日期: 2025-03-31
- 售價: $5,870
- 貴賓價: 9.5 折 $5,577
- 語言: 英文
- 頁數: 254
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032774282
- ISBN-13: 9781032774282
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相關分類:
VLSI、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures.
This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing.
This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.
商品描述(中文翻譯)
本書探討了超大規模積體電路（VLSI）與機器學習（ML）之間的協同作用及其在各個領域的應用。它研究了機器學習技術如何增強VLSI電路的設計和測試、提高能效、優化佈局，並實現新穎的架構。
本書彌補了VLSI與機器學習之間的鴻溝，展示了這種整合在創造創新電子系統、推進計算能力以及為智能設備和技術的新時代鋪路的潛力。此外，它還涵蓋了VLSI技術如何加速機器學習算法，使數據處理和推理引擎更加高效和強大。它探討了硬體和軟體的各個方面，涵蓋了硬體加速器、針對特定機器學習任務的定制硬體，以及基於機器學習的晶片設計和測試優化技術。
本書將對學術界、研究人員、研究生以及從事機器學習驅動的VLSI工作的人士有所幫助。
作者簡介
Dr. Abhishek Narayan Tripathi is currently an Assistant Professor in the Department of Micro and Nanoelectronics, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. He holds a Ph.D. in ECE with a specialization in VLSI Design and Embedded Technology from MANIT, Bhopal. His research work includes the development of methodologies for dynamic power and leakage power estimation in FPGA and ASIC-based implementations, VLSI system design, AI, deep learning, and microprocessor architecture.
Dr. Jagana Bihari Padhy is an Assistant Professor in the Department of Embedded Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. He holds a Ph.D. in ECE with a specialization in optical wireless system design from IIIT Bhubaneswar. His research work includes the development of optical system design both in wired and wireless methodologies for the next generation of communication 5G and beyond.
Dr. Indrasen Singh is an Assistant Professor (Sr. Grade-2) in the Department of Embedded Technology, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. His research interests are in the areas of cooperative communication, stochastic geometry, modelling of wireless networks, heterogeneous networks, millimetre wave communications, device-to-device communication, and 5G/6G communication.
Dr. Shubham Tayal is an Assistant Professor in the Department of Electronics and Communication Engineering, SR University, Warangal, India. He has more than 6 years of academic/research experience in teaching at the UG and PG levels. He received his Ph.D. in Microelectronics and VLSI Design from the National Institute of Technology, Kurukshetra; M.Tech. (VLSI Design) from YMCA University of Science and Technology, Faridabad; and B.Tech. (Electronics and Communication Engineering) from MDU, Rohtak. His research interests include simulation and modelling of multi-gate semiconductor devices, device-circuit co-design in digital/analogue domain, ML, and Internet of Things.
Prof. Ghanshyam Singh received a Ph.D. degree in Electronics Engineering from the Indian Institute of Technology, Banaras Hindu University, Varanasi, India, in 2000. At present, he is a full Professor with the Department of Electrical and Electronics Engineering, APK Campus, University of Johannesburg, South Africa. His research and teaching interests include RF/microwave engineering, millimetre/THz wave antennas and their applications in communication and imaging, next-generation communication systems (OFDM and cognitive radio), and nanophotonics. He has more than 19 years of teaching and research experience in electromagnetic/microwave engineering, wireless communication, and nanophotonics.
作者簡介(中文翻譯)
阿比謝克·納拉揚·特里帕提博士目前是印度泰米爾納德邦維洛爾科技學院電子工程學院微電子與奈米電子學系的助理教授。他擁有來自博帕爾國立科技學院（MANIT）的電子與通信工程（ECE）博士學位，專攻VLSI設計與嵌入式技術。他的研究工作包括在FPGA和ASIC基礎實現中動態功率和漏電功率估算方法的開發、VLSI系統設計、人工智慧、深度學習和微處理器架構。
賈甘納·比哈里·帕迪博士是印度泰米爾納德邦維洛爾科技學院電子工程學院嵌入式技術系的助理教授。他擁有來自布巴內斯瓦爾國際資訊科技學院（IIIT Bhubaneswar）的電子與通信工程（ECE）博士學位，專攻光無線系統設計。他的研究工作包括為下一代通訊5G及以後的有線和無線方法開發光系統設計。
印德拉森·辛格博士是印度泰米爾納德邦維洛爾科技學院電子工程學院嵌入式技術系的助理教授（高級2級）。他的研究興趣包括合作通信、隨機幾何、無線網絡建模、異構網絡、毫米波通信、設備對設備通信以及5G/6G通信。
舒巴姆·塔亞爾博士是印度瓦朗加爾SR大學電子與通信工程系的助理教授。他在本科和研究生層級的教學方面擁有超過6年的學術/研究經驗。他在庫魯克舍特拉國立科技學院獲得微電子與VLSI設計博士學位；在法里達巴德的YMCA科技大學獲得VLSI設計碩士學位；在羅哈特的MDU獲得電子與通信工程學士學位。他的研究興趣包括多閘半導體器件的模擬與建模、數位/類比領域的器件-電路共同設計、機器學習和物聯網。
甘尚·辛格教授於2000年在印度瓦拉納西的印度理工學院（Banaras Hindu University）獲得電子工程博士學位。目前，他是南非約翰尼斯堡大學APK校區電氣與電子工程系的全職教授。他的研究和教學興趣包括射頻/微波工程、毫米波/太赫茲波天線及其在通信和成像中的應用、下一代通信系統（OFDM和認知無線）以及納米光子學。他在電磁/微波工程、無線通信和納米光子學方面擁有超過19年的教學和研究經驗。
