Exploring Zynq MPSoC : With PYNQ and Machine Learning Applications
Crockett, Louise and Northcote, David and Ramsay, Craig and Robinson, Fraser and Stewart, Robert (2019) Exploring Zynq MPSoC : With PYNQ and Machine Learning Applications. Strathclyde Academic Media, Glasgow. ISBN 9780992978754 (https://www.zynq-mpsoc-book.com/)
Full text not available in this repository.Abstract
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.
ORCID iDs
Crockett, Louise ORCID: https://orcid.org/0000-0003-4436-0254, Northcote, David ORCID: https://orcid.org/0000-0003-0287-1531, Ramsay, Craig, Robinson, Fraser ORCID: https://orcid.org/0000-0002-2475-0880 and Stewart, Robert ORCID: https://orcid.org/0000-0002-7779-8597;-
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Item type: Book ID code: 69997 Dates: DateEvent11 April 2019PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 01 Oct 2019 10:55 Last modified: 11 Nov 2024 15:51 URI: https://strathprints.strath.ac.uk/id/eprint/69997