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FPGA Simulation: A Complete Step-by-Step Guide shows FPGA design engineers how to avoid long lab debug sessions by simulating with SystemVerilog. The book helps engineers to have never simulated their designs before by bringing them through seven steps that can be added incrementally to a design flow. Engineers start with code coverage as the first step. Succeeding steps introduce test planning, assertions, and SystemVerilog simuation techniques. By the end of the process engineers who have never simulated before will know how to create complete self-checking test benches that generate their own stimulus, and demonstrate complete functional coverage. This book is a must for engineers who are facing DO-254 certification requirements on their next FPGA project.
To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field programmable gate arrays (FPGAs). This manuscript describes various approaches of using FPGAs to accelerate software-implemented simulation of computer systems and selected simulators that incorporate those techniques. More precisely, we describe a simulation architecture taxonomy that incorporates a simulation architecture specifically designed for FPGA accelerated simulation, survey the state-of-the-art in FPGA-accelerated simulation, and describe in detail selected instances of the described techniques. Table of Contents: Preface / Acknowledgments / Introduction / Simulator Background / Accelerating Computer System Simulators with FPGAs / Simulation Virtualization / Categorizing FPGA-based Simulators / Conclusion / Bibliography / Authors' Biographies
To date, the most common form of simulators of computer systems are software-based running on standard computers. One promising approach to improve simulation performance is to apply hardware, specifically reconfigurable hardware in the form of field programmable gate arrays (FPGAs). This manuscript describes various approaches of using FPGAs to accelerate software-implemented simulation of computer systems and selected simulators that incorporate those techniques. More precisely, we describe a simulation architecture taxonomy that incorporates a simulation architecture specifically designed for FPGA accelerated simulation, survey the state-of-the-art in FPGA-accelerated simulation, and describe in detail selected instances of the described techniques. Table of Contents: Preface / Acknowledgments / Introduction / Simulator Background / Accelerating Computer System Simulators with FPGAs / Simulation Virtualization / Categorizing FPGA-based Simulators / Conclusion / Bibliography / Authors' Biographies
This book introduces the FPGA technology used in the laboratory sessions, and provides a step-by-step guide for designing and simulation of digital circuits. It utilizes the VHDL language, which is one of the most common language used to describe the design of digital systems. The Quartus II, Xilinx ISE 14.7 and ModelSim software are used to process the VHDL code and make simulations, and then the Altera and Xilinx FPGA platforms are employed to implement the simulated digital designs. The book is composed of four parts. The first part of this book has two chapters and covers various aspects: FPGA architectures, ASIC vs FPGA comparison, FPGA design flow and basic VHDL concepts necessary to describe the design of digital systems. The second part of the book includes three chapters that deal with the design of digital circuits such as combinational logic circuits, sequential logic circuits and finite state machines. The third part of the book is reserved for laboratory projects carried out on the FPGA platform. It is a largely hands-on lab class for design digital circuits and implementing their designs on the Altera FPGA platform. Finally, the fourth part of this work is devoted to recent applications carried out on FPGAs, in particular advanced techniques in renewable energy systems. The book is primarily intended for students, scholars, and industrial practitioners interested in the design of modern digital systems.
Skip the complexity and learn to program FPGAs the easy way through this hands-on, beginner-friendly introduction to digital circuit design with Verilog and VHDL. Whether you have been toying with field programmable gate arrays (FPGAs) for years or are completely new to these reprogrammable devices, this book will teach you to think like an FPGA engineer and develop reliable designs with confidence. Through detailed code examples, patient explanations, and hands-on projects, Getting Started with FPGAs will actually get you started. Russell Merrick, creator of the popular blog Nandland.com, will guide you through the basics of digital logic, look-up tables, and flip-flops, as well as high-level concepts like state machines. You’ll explore the fundamentals of the FPGA build process including simulation, synthesis, and place and route.You’ll learn about key FPGA primitives, such as DSP blocks and PLLs, and examine how FPGAs handle math operations and I/O. Code examples are provided in both Verilog and VHDL, making the book a valuable resource no matter your language of choice. You’ll discover how to: Implement common design building blocks like multiplexers, LFSRs, and FIFOs Cross between clock domains without triggering metastable conditions or timing errors Avoid common pitfalls when performing math Transmit and receive data at lightning speeds using SerDes Write testbench code to verify your designs are working With this accessible, hands-on guide, you’ll be creating your own functional FPGA projects in no time. Getting started with FPGAs has never been easier.
Field Programmable Gate Arrays (FPGAs) are currently recognized as the most suitable platform for the implementation of complex digital systems targeting an increasing number of industrial electronics applications. They cover a huge variety of application areas, such as: aerospace, food industry, art, industrial automation, automotive, biomedicine, process control, military, logistics, power electronics, chemistry, sensor networks, robotics, ultrasound, security, and artificial vision. This book first presents the basic architectures of the devices to familiarize the reader with the fundamentals of FPGAs before identifying and discussing new resources that extend the ability of the devices to solve problems in new application domains. Design methodologies are discussed and application examples are included for some of these domains, e.g., mechatronics, robotics, and power systems.
Performance evaluation is at the foundation of computer architecture research and development. Contemporary microprocessors are so complex that architects cannot design systems based on intuition and simple models only. Adequate performance evaluation methods are absolutely crucial to steer the research and development process in the right direction. However, rigorous performance evaluation is non-trivial as there are multiple aspects to performance evaluation, such as picking workloads, selecting an appropriate modeling or simulation approach, running the model and interpreting the results using meaningful metrics. Each of these aspects is equally important and a performance evaluation method that lacks rigor in any of these crucial aspects may lead to inaccurate performance data and may drive research and development in a wrong direction. The goal of this book is to present an overview of the current state-of-the-art in computer architecture performance evaluation, with a special emphasis on methods for exploring processor architectures. The book focuses on fundamental concepts and ideas for obtaining accurate performance data. The book covers various topics in performance evaluation, ranging from performance metrics, to workload selection, to various modeling approaches including mechanistic and empirical modeling. And because simulation is by far the most prevalent modeling technique, more than half the book's content is devoted to simulation. The book provides an overview of the simulation techniques in the computer designer's toolbox, followed by various simulation acceleration techniques including sampled simulation, statistical simulation, parallel simulation and hardware-accelerated simulation. Table of Contents: Introduction / Performance Metrics / Workload Design / Analytical Performance Modeling / Simulation / Sampled Simulation / Statistical Simulation / Parallel Simulation and Hardware Acceleration / Concluding Remarks
In DSP Architecture Design Essentials, authors Dejan Marković and Robert W. Brodersen cover a key subject for the successful realization of DSP algorithms for communications, multimedia, and healthcare applications. The book addresses the need for DSP architecture design that maps advanced DSP algorithms to hardware in the most power- and area-efficient way. The key feature of this text is a design methodology based on a high-level design model that leads to hardware implementation with minimum power and area. The methodology includes algorithm-level considerations such as automated word-length reduction and intrinsic data properties that can be leveraged to reduce hardware complexity. From a high-level data-flow graph model, an architecture exploration methodology based on linear programming is used to create an array of architectural solutions tailored to the underlying hardware technology. The book is supplemented with online material: bibliography, design examples, CAD tutorials and custom software.
This book places particular emphasis on issues of model quality and ideas of model testing and validation. Mathematical and computer-based models provide a foundation for explaining complex behaviour, decision-making, engineering design and for real-time simulators for research and training. Many engineering design techniques depend on suitable models, assessment of the adequacy of a given model for an intended application is therefore critically important. Generic model structures and dependable libraries of sub-models that can be applied repeatedly are increasingly important. Applications are drawn from the fields of mechanical, aeronautical and control engineering, and involve non-linear lumped-parameter models described by ordinary differential equations. - Focuses on issues of model quality and the suitability of a given model for a specific application - Multidisciplinary problems within engineering feature strongly in the applications - The development and testing of nonlinear dynamic models is given very strong emphasis
Smart grids are linked with smart homes and smart meters. These smart grids are the new topology for generating, distributing, and consuming energy. If these smart devices are not connected in a smart grid, then they cannot work properly; hence, the conventional power systems are swiftly changing in order to improve the quality of electrical energy. This book covers the fundamentals of power systems—which are the pillars for smart grids —with a focus on defining the smart grid with theoretical and experimental electrical concepts. Power System Fundamentals begins by discussing electric circuits, the basic systems in smart grids, and finishes with a complete smart grid concept. The book allows the reader to build a foundation of understanding with basic and advanced exercises that run on simulation before moving to experimental results. It is intended for readers who want to comprehensively cover both the basic and advanced concepts of smart grids.