Book Image

Architecting and Building High-Speed SoCs

By : Mounir Maaref
5 (1)
Book Image

Architecting and Building High-Speed SoCs

5 (1)
By: Mounir Maaref

Overview of this book

Modern and complex SoCs can adapt to many demanding system requirements by combining the processing power of ARM processors and the feature-rich Xilinx FPGAs. You’ll need to understand many protocols, use a variety of internal and external interfaces, pinpoint the bottlenecks, and define the architecture of an SoC in an FPGA to produce a superior solution in a timely and cost-efficient manner. This book adopts a practical approach to helping you master both the hardware and software design flows, understand key interconnects and interfaces, analyze the system performance and enhance it using the acceleration techniques, and finally build an RTOS-based software application for an advanced SoC design. You’ll start with an introduction to the FPGA SoCs technology fundamentals and their associated development design tools. Gradually, the book will guide you through building the SoC hardware and software, starting from the architecture definition to testing on a demo board or a virtual platform. The level of complexity evolves as the book progresses and covers advanced applications such as communications, security, and coherent hardware acceleration. By the end of this book, you'll have learned the concepts underlying FPGA SoCs’ advanced features and you’ll have constructed a high-speed SoC targeting a high-end FPGA from the ground up.
Table of Contents (20 chapters)
1
Part 1: Fundamentals and the Main Features of High-Speed SoC and FPGA Designs
7
Part 2: Implementing High-Speed SoC Designs in an FPGA
12
Part 3: Implementation and Integration of Advanced High-Speed FPGA SoCs

Data sharing and coherency challenges

Modern SoCs are constructed using multiple data compute engines such as CPUs, GPUs, custom hardware accelerators, and high-performance IP peripherals with integrated DMA engines. They process data that is shared laterally and passed from layer to layer as these different processing engines cooperate. These complex topologies make the system design more challenging in terms of making sure that the data is safe as it is accessed, used, and updated while also ensuring it is coherent when these processing engines make efforts to optimize the data access, such as by using integrated caches. Accessing data concurrently and safely means accessing it atomically and coherently without paying a high penalty in terms of software management and using prohibitive locking mechanisms. We want the system architecture to be lock-free and rely on the hardware to provide the optimal mechanisms to implement these data protection mechanisms.

Data access atomicity...