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2020 Acm Ieee International Workshop On System Level Interconnect Prediction Slip
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Book Synopsis 2020 ACM IEEE International Workshop on System Level Interconnect Prediction (SLIP) by : IEEE Staff
Download or read book 2020 ACM IEEE International Workshop on System Level Interconnect Prediction (SLIP) written by IEEE Staff and published by . This book was released on 2020-11-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Interconnect and communication fabrics in electronic systems
Book Synopsis 2015 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP) by :
Download or read book 2015 ACM/IEEE International Workshop on System Level Interconnect Prediction (SLIP) written by and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of SLIP '03 by : SLIP (5, 2003, Monterey, Calif.)
Download or read book Proceedings of SLIP '03 written by SLIP (5, 2003, Monterey, Calif.) and published by . This book was released on 2003 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis VLSI and Hardware Implementations using Modern Machine Learning Methods by : Sandeep Saini
Download or read book VLSI and Hardware Implementations using Modern Machine Learning Methods written by Sandeep Saini and published by CRC Press. This book was released on 2021-12-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceeding of Fifth International Conference on Microelectronics, Computing and Communication Systems by : Vijay Nath
Download or read book Proceeding of Fifth International Conference on Microelectronics, Computing and Communication Systems written by Vijay Nath and published by Springer Nature. This book was released on 2021-09-09 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality papers from the Fifth International Conference on Microelectronics, Computing & Communication Systems (MCCS 2020). It discusses the latest technological trends and advances in MEMS and nanoelectronics, wireless communication, optical communication, instrumentation, signal processing, image processing, bioengineering, green energy, hybrid vehicles, environmental science, weather forecasting, cloud computing, renewable energy, RFID, CMOS sensors, actuators, transducers, telemetry systems, embedded systems and sensor network applications. It includes papers based on original theoretical, practical and experimental simulations, development, applications, measurements and testing. The applications and solutions discussed here provide excellent reference material for future product development.
Book Synopsis Introduction to VLSI Design Flow by : Sneh Saurabh
Download or read book Introduction to VLSI Design Flow written by Sneh Saurabh and published by Cambridge University Press. This book was released on 2023-06-15 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook on the fundamentals of VLSI design flow, covering the various stages of design implementation, verification, and testing.
Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Yong Zhang
Download or read book Parallel and Distributed Computing, Applications and Technologies written by Yong Zhang and published by Springer Nature. This book was released on 2021-02-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 21st International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2020, which took place in Shenzhen, China, during December 28-30, 2020. The 34 full papers included in this volume were carefully reviewed and selected from 109 submissions. They deal with parallel and distributed computing of networking and architectures, software systems and technologies, algorithms and applications, and security and privacy.
Book Synopsis Network and Parallel Computing by : Xin He
Download or read book Network and Parallel Computing written by Xin He and published by Springer Nature. This book was released on 2021-06-22 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 17th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2020, held in Zhengzhou, China, in September 2020. The 34 full and 7 short papers presented in this volume were carefully reviewed and selected from 95 submissions. They were organized in topical sections named: accelerator; AI; algorithm; architecture and hardware; big data and cloud; edge computing; emerging; network; and storage.
Book Synopsis Machine Learning Techniques for VLSI Chip Design by : Abhishek Kumar
Download or read book Machine Learning Techniques for VLSI Chip Design written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2023-06-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design. Artificial intelligence (AI) and machine learning (ML) have, or will have, an impact on almost every aspect of our lives and every device that we own. AI has benefitted every industry in terms of computational speeds, accurate decision prediction, efficient machine learning (ML), and deep learning (DL) algorithms. The VLSI industry uses the electronic design automation tool (EDA), and the integration with ML helps in reducing design time and cost of production. Finding defects, bugs, and hardware Trojans in the design with ML or DL can save losses during production. Constraints to ML-DL arise when having to deal with a large set of training datasets. This book covers the learning algorithm for floor planning, routing, mask fabrication, and implementation of the computational architecture for ML-DL. The future aspect of the ML-DL algorithm is to be available in the format of an integrated circuit (IC). A user can upgrade to the new algorithm by replacing an IC. This new book mainly deals with the adaption of computation blocks like hardware accelerators and novel nano-material for them based upon their application and to create a smart solution. This exciting new volume is an invaluable reference for beginners as well as engineers, scientists, researchers, and other professionals working in the area of VLSI architecture development.
Download or read book Proceedings of SLIP '05 written by and published by . This book was released on 2005 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis VLSI Design and Test by : Ambika Prasad Shah
Download or read book VLSI Design and Test written by Ambika Prasad Shah and published by Springer Nature. This book was released on 2022-12-16 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 26th International Symposium on VLSI Design and Test, VDAT 2022, which took place in Jammu, India, in July 2022. The 32 regular papers and 16 short papers presented in this volume were carefully reviewed and selected from 220 submissions. They were organized in topical sections as follows: Devices and Technology; Sensors; Analog/Mixed Signal; Digital Design; Emerging Technologies and Memory; System Design.
Book Synopsis Proceedings of SLIP'07 by : International Workshop on System Level Interconnect Prediction
Download or read book Proceedings of SLIP'07 written by International Workshop on System Level Interconnect Prediction and published by . This book was released on 2007 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning Applications in Electronic Design Automation by : Haoxing Ren
Download or read book Machine Learning Applications in Electronic Design Automation written by Haoxing Ren and published by Springer Nature. This book was released on 2023-01-01 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.
Book Synopsis Frontiers of Quality Electronic Design (QED) by : Ali Iranmanesh
Download or read book Frontiers of Quality Electronic Design (QED) written by Ali Iranmanesh and published by Springer Nature. This book was released on 2023-01-11 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality Electronic Design (QED)’s landscape spans a vast region where territories of many participating disciplines and technologies overlap. This book explores the latest trends in several key topics related to quality electronic design, with emphasis on Hardware Security, Cybersecurity, Machine Learning, and application of Artificial Intelligence (AI). The book includes topics in nonvolatile memories (NVM), Internet of Things (IoT), FPGA, and Neural Networks.
Download or read book SLIP 2001 written by and published by . This book was released on 2001 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Special Section on the 2003 System-Level Interconnect Prediction (SLIP) Workshop by : SLIP
Download or read book Special Section on the 2003 System-Level Interconnect Prediction (SLIP) Workshop written by SLIP and published by . This book was released on 2004 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing by : Sudeep Pasricha
Download or read book Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing written by Sudeep Pasricha and published by Springer Nature. This book was released on 2023-11-01 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.
