VLSI and hardware implementations using modern machine learning methods /
VLSI and hardware implementations using modern machine learning methods /
edited by Sandeep Saini, Kusum Lata and G.R. Sinha.
- First edition.
- 1 online resource
VLSI and hardware implementation using machine learning methods: a systematic literature review / Kusum Lata, Sandeep Saini, G R Sinha -- Machine learning for testing of VLSI circuit / Abhishek Choubey, Shruti Bhargava Choubey -- Online checkers to detect hardware trojans in AES hardware accelerators / Sree Ranjani Rajendran, Rajat Subhra Chakraborty.
"Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design. Focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. It contains chapters on case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design and hardware realization using machine learning techniques"--
9781003201038 1003201032 9781000523812 1000523810 9781000523843 1000523845
Integrated circuits--Very large scale integration--Design and construction--Data processing.
Machine learning.
TECHNOLOGY / Electronics / Circuits / General
TK7874.75
006.3/1
VLSI and hardware implementation using machine learning methods: a systematic literature review / Kusum Lata, Sandeep Saini, G R Sinha -- Machine learning for testing of VLSI circuit / Abhishek Choubey, Shruti Bhargava Choubey -- Online checkers to detect hardware trojans in AES hardware accelerators / Sree Ranjani Rajendran, Rajat Subhra Chakraborty.
"Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design. Focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. It contains chapters on case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design and hardware realization using machine learning techniques"--
9781003201038 1003201032 9781000523812 1000523810 9781000523843 1000523845
Integrated circuits--Very large scale integration--Design and construction--Data processing.
Machine learning.
TECHNOLOGY / Electronics / Circuits / General
TK7874.75
006.3/1
