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Exploring Zynq MPSoC: With PYNQ and Machine Learning Applications

by Louise H. Crockett

A technical guide to Zynq MPSoC design

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AlbakiReads Editorial

A technical guide to Zynq MPSoC design

Louise H. Crockett’s guide connects the Zynq MPSoC’s hardware architecture with the methods used to develop for it. It covers conventional hardware/software co-design alongside the software-defined approach using Xilinx’s SDx environment, then surveys topics including multiprocessing, safety, security, platform management and system booting. Dedicated sections on PYNQ, a Python-based framework for Zynq devices, and machine-learning applications extend the coverage into specific tools and uses. The book’s combination of device fundamentals and design workflows makes it both an introduction to the platform and a technical reference on its associated development methods.

Good fit for readers who enjoy

  • Engineers working with Zynq MPSoC devices and development workflows.
  • Technical managers seeking familiarity with the device and its design methodologies.
  • Readers interested in PYNQ or machine-learning applications for Zynq devices.

Themes

Zynq MPSoC architectureHardware/software co-designEmbedded systems developmentPYNQ and machine learning

Based on publisher information and book metadata.

Book overview

This book introduces the Zynq MPSoC (Multi-Processor System-on-Chip), an embedded device from Xilinx. The Zynq MPSoC combines a sophisticated processing system that includes ARM Cortex-A53 applications and ARM Cortex-R5 real-time processors, with FPGA programmable logic.

As well as guiding the reader through the architecture of the device, design tools and methods are also covered in detail: both the conventional hardware/software co-design approach, and the newer software-defined methodology using Xilinx's SDx development environment. Featured aspects of Zynq MPSoC design include hardware and software development, multiprocessing, safety, security and platform management, and system booting. There are also special features on PYNQ, the Python-based framework for Zynq devices, and machine learning applications.

This book should serve as a useful guide for those working with Zynq MPSoC, and equally as a reference for technical managers wishing to gain familiarity with the device and its associated design methodologies.

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