VLSI and Hardware Implementations using Modern Machine Learning Methods

ISBN-13: 9781032061719 / Angielski / Twarda / 2021 / 312 str.

Opis

This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.

Spis treści

Chapter No.Chapter TitleAuthors1VLSI and Hardware Implementation Using Machine Learning Methods: A Systematic Literature ReviewKusum Lata, Sandeep Saini, G. R. Sinha2Machine Learning for Testing of VLSI CircuitAbhishek Choubey, Shruti Bhargava Choubey3 Online Checkers to Detect Hardware Trojans in AES Hardware AcceleratorsSree Ranjani Rajendran, Rajat Subhra Chakraborty4Machine Learning Methods for Hardware SecuritySoma Saha, Bodhisatwa Mazumdar5Application Driven Fault Identification in NoC DesignsAnkur Gogoi and Bibhas Ghoshal6Online Test Derived from Binary Neural Network for Critical Autonomous Automotive HardwareDr. Philemon Daniel7Applications of Machine Learning in VLSI DesignSneh Saurabh, Pranav Jain, Madhvi Agarwal,and OVS Shashank Ram8An Overview of High-Performance Computing Techniques Applied to Image ProcessingGiulliano Paes Carnielli, Rangel Arthur, Ana Carolina Borges Monteiro, Reinaldo Padilha França, and Yuzo Iano9Machine Learning Algorithms for Semiconductor Device ModelingYogendra Gupta, Niketa Sharma, Ashish Sharma, Harish Sharma10Securing IoT-Based Microservices Using Artificial IntelligenceSushant Kumar andSaurabh Mukherjee11Applications of the Approximate Computing on ML ArchitectureKattekola Naresh and Shubhankar Majumdar12Hardware Realization of Reinforcement Learning Algorithms for Edge DevicesShaik Mohammed Waseem and Subir Kumar Roy13Deep Learning Techniques for Side-Channel AnalysisVarsha Satheesh Kumar, S. Dillibabu Shanmugam, and Dr.N. Sarat Chandra Babu14Machine Learning in Hardware Security of IoT NodesT Lavanya and K Rajalakshmi 15Integrated Photonics for Artificial Intelligence ApplicationsAnkur Saharia, Kamal Kishor Choure, Nitesh Mudgal, Rahul Pandey, Dinesh Bhatia, Manish Tiwari, Ghanshyam Singh