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Author: Karim Abbas Publisher: Springer Nature ISBN: 3031086937 Category : Technology & Engineering Languages : en Pages : 439
Book Description
This book uses digital radios as a challenging design example, generalized to bridge a typical gap between designers who work on algorithms and those who work to implement those algorithms on silicon. The author shows how such a complex system can be moved from high-level characterization to a form that is ready for hardware implementation. Along the way, readers learn a lot about how algorithm designers can benefit from knowing the hardware they target and how hardware designers can benefit from a familiarity with the algorithm. The book shows how a high-level description of an algorithm can be migrated to a fixed-point block diagram with a well-defined cycle accurate architecture and a fully documented controller. This can significantly reduce the length of the hardware design cycle and can improve its outcomes. Ultimately, the book presents an explicit design flow that bridges the gap between algorithm design and hardware design. Provides a guide to baseband radio design for Wi-Fi and cellular systems, from an implementation-focused, perspective; Explains how arithmetic is moved to hardware and what the cost of each operation is in terms of delay, area and power; Enables strategic architectural decisions based on the algorithm, available processing units and design requirements.
Author: Karim Abbas Publisher: Springer Nature ISBN: 3031086937 Category : Technology & Engineering Languages : en Pages : 439
Book Description
This book uses digital radios as a challenging design example, generalized to bridge a typical gap between designers who work on algorithms and those who work to implement those algorithms on silicon. The author shows how such a complex system can be moved from high-level characterization to a form that is ready for hardware implementation. Along the way, readers learn a lot about how algorithm designers can benefit from knowing the hardware they target and how hardware designers can benefit from a familiarity with the algorithm. The book shows how a high-level description of an algorithm can be migrated to a fixed-point block diagram with a well-defined cycle accurate architecture and a fully documented controller. This can significantly reduce the length of the hardware design cycle and can improve its outcomes. Ultimately, the book presents an explicit design flow that bridges the gap between algorithm design and hardware design. Provides a guide to baseband radio design for Wi-Fi and cellular systems, from an implementation-focused, perspective; Explains how arithmetic is moved to hardware and what the cost of each operation is in terms of delay, area and power; Enables strategic architectural decisions based on the algorithm, available processing units and design requirements.
Author: Vivienne Sze Publisher: Springer Nature ISBN: 3031017668 Category : Technology & Engineering Languages : en Pages : 254
Book Description
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
Author: Deepraj Soni Publisher: Springer Nature ISBN: 3030576825 Category : Technology & Engineering Languages : en Pages : 185
Book Description
This book explores C-based design, implementation, and analysis of post-quantum cryptography (PQC) algorithms for signature generation and verification. The authors investigate NIST round 2 PQC algorithms for signature generation and signature verification from a hardware implementation perspective, especially focusing on C-based design, power-performance-area-security (PPAS) trade-offs and design flows targeting FPGAs and ASICs. Describes a comprehensive set of synthesizable c code base as well as the hardware implementations for the different types of PQC algorithms including lattice-based, code-based, and multivariate-based; Demonstrates the hardware (FPGA and ASIC) and hardware-software optimizations and trade-offs of the NIST round 2 signature-based PQC algorithms; Enables designers to build hardware implementations that are resilient to a variety of side-channels.
Author: Amos R. Omondi Publisher: Springer Nature ISBN: 3030341429 Category : Computers Languages : en Pages : 338
Book Description
Modern cryptosystems, used in numerous applications that require secrecy or privacy - electronic mail, financial transactions, medical-record keeping, government affairs, social media etc. - are based on sophisticated mathematics and algorithms that in implementation involve much computer arithmetic. And for speed it is necessary that the arithmetic be realized at the hardware (chip) level. This book is an introduction to the implementation of cryptosystems at that level. The aforementioned arithmetic is mostly the arithmetic of finite fields, and the book is essentially one on the arithmetic of prime fields and binary fields in the context of cryptography. The book has three main parts. The first part is on generic algorithms and hardware architectures for the basic arithmetic operations: addition, subtraction, multiplication, and division. The second part is on the arithmetic of prime fields. And the third part is on the arithmetic of binary fields. The mathematical fundamentals necessary for the latter two parts are included, as are descriptions of various types of cryptosystems, to provide appropriate context. This book is intended for advanced-level students in Computer Science, Computer Engineering, and Electrical and Electronic Engineering. Practitioners too will find it useful, as will those with a general interest in "hard" applications of mathematics.
Author: Behrooz Parhami Publisher: Springer Science & Business Media ISBN: 0306469642 Category : Business & Economics Languages : en Pages : 512
Book Description
THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other.
Author: Bert Moons Publisher: Springer ISBN: 3319992236 Category : Technology & Engineering Languages : en Pages : 216
Book Description
This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning. Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices; Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy – applications, algorithms, hardware architectures, and circuits – supported by real silicon prototypes; Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations; Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization’s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.
Author: Vikram Arkalgud Chandrasetty Publisher: Academic Press ISBN: 0128112565 Category : Technology & Engineering Languages : en Pages : 192
Book Description
This book takes a practical hands-on approach to developing low complexity algorithms and transforming them into working hardware. It follows a complete design approach – from algorithms to hardware architectures - and addresses some of the challenges associated with their design, providing insight into implementing innovative architectures based on low complexity algorithms.The reader will learn: Modern techniques to design, model and analyze low complexity LDPC algorithms as well as their hardware implementation How to reduce computational complexity and power consumption using computer aided design techniques All aspects of the design spectrum from algorithms to hardware implementation and performance trade-offs Provides extensive treatment of LDPC decoding algorithms and hardware implementations Gives a systematic guidance, giving a basic understanding of LDPC codes and decoding algorithms and providing practical skills in implementing efficient LDPC decoders in hardware Companion website containing C-Programs and MATLAB models for simulating the algorithms, and Verilog HDL codes for hardware modeling and synthesis
Author: Albert Chun-Chen Liu Publisher: John Wiley & Sons ISBN: 1119810477 Category : Computers Languages : en Pages : 244
Book Description
ARTIFICIAL INTELLIGENCE HARDWARE DESIGN Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions, distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization. The authors offer readers an illustration of in-memory computation through Georgia Tech’s Neurocube and Stanford’s Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions. Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like: A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition Perfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity.
Author: Kostas Terzidis Publisher: John Wiley & Sons ISBN: 0470503181 Category : Computers Languages : en Pages : 384
Book Description
As the first book to share the necessary algorithms for creating code to experiment with design problems in the processing language, this book offers a series of generic procedures that can function as building blocks and encourages you to then use those building blocks to experiment, explore, and channel your thoughts, ideas, and principles into potential solutions. The book covers such topics as structured shapes, solid geometry, networking and databases, physical computing, image processing, graphic user interfaces, and more.
Author: Mircea Vlăduţiu Publisher: Springer Science & Business Media ISBN: 364218314X Category : Computers Languages : en Pages : 270
Book Description
The subject of this book is the analysis and design of digital devices that implement computer arithmetic. The book's presentation of high-level detail, descriptions, formalisms and design principles means that it can support many research activities in this field, with an emphasis on bridging the gap between algorithm optimization and hardware implementation. The author provides a unified view linking the domains of digital design and arithmetic algorithms, based on original formalisms and hardware description languages. A feature of the book is the large number of examples and the implementation details provided. While the author does not avoid high-level details, providing for example gate-level designs for all matrix/combinational arithmetic structures. The book is suitable for researchers and students engaged with hardware design in computer science and engineering. A feature of the book is the large number of examples and the implementation details provided. While the author does not avoid high-level details, providing for example gate-level designs for all matrix/combinational arithmetic structures. The book is suitable for researchers and students engaged with hardware design in computer science and engineering.
Author: Karim Abbas
Author: Karim Abbas
Author: Vivienne Sze
Author: Deepraj Soni
Author: Amos R. Omondi
Author: Behrooz Parhami
Author: Bert Moons
Author: Vikram Arkalgud Chandrasetty
Author: Albert Chun-Chen Liu
Author: Kostas Terzidis
Author: Mircea Vlăduţiu