Author: Publisher:
ISBN: 9781538666487
Category :
Languages : en
Pages :
Book Description
2019 IEEE International Conference on Computer Design
Author: 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD).
Author: 2019 IEEE ACM International Conference on Computer Aided Design (ICCAD)
Author: IEEE StaffPublisher:
ISBN: 9781728123516
Category :
Languages : en
Pages :
Book Description
ICCAD has been a premier forum which has paved the way in creating systems which are fast, small, power efficient, low cost, correct, manufacturable, and reliable
2017 35th IEEE International Conference on Computer Design (ICCD)
Author: Proceedings, 2019 IEEE International Conference on Smart Computing
Author: Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Author: Weiming ShenPublisher:
ISBN:
Category : Engineering design
Languages : en
Pages :
Book Description
Algorithms and Architectures for Parallel Processing
Author: Zahir TariPublisher: Springer Nature
ISBN: 981970801X
Category :
Languages : en
Pages : 524
Book Description
Computer Design (ICCD), 2015 33rd IEEE International Conference on
Author: Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications
Author: VLSI and Hardware Implementations using Modern Machine Learning Methods
Author: Sandeep SainiPublisher: CRC Press
ISBN: 1000523810
Category : Technology & Engineering
Languages : en
Pages : 329
Book Description
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. The 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. Chapters include 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. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.