Experience of PYNQ : tutorials for PYNQ-Z2 / Songlin Sun, Jiaqi Zou, Zixuan Zou, Shaokang Wang, editors.
2023
QA76.73.P98 E97 2023
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Details
Title
Experience of PYNQ : tutorials for PYNQ-Z2 / Songlin Sun, Jiaqi Zou, Zixuan Zou, Shaokang Wang, editors.
ISBN
9789811990724 electronic book
9811990727 electronic book
9811990719
9789811990717
9811990727 electronic book
9811990719
9789811990717
Published
Singapore : Springer, 2023.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-19-9072-4 doi
Call Number
QA76.73.P98 E97 2023
Dewey Decimal Classification
005.13/3
Summary
This book introduces PYNQ, a Python-based framework from Xilinx that makes it easier for users to build electronic systems on Xilinx platforms. The book covers the architecture of PYNQ, the design tools and methods, software and hardware design approach, as well as rich experiment cases on communications, multimedia, and deep learning. This book serves as a useful guide for those getting starting with, or working with PYNQ and enables the learners to have a thorough understanding of the hardware/software co-design approaches in the area of the communication, multimedia, and other information system components. This book is organized based on the teaching materials of hardware comprehensive experiments which is an experimental course in BUPT, for both undergraduate and graduate students, and domestic and international students. This course has more than ten years of teaching experience and has taught hundreds of students.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 9, 2023).
Series
SpringerBriefs in applied sciences and technology, 2191-5318
Available in Other Form
Print version: 9789811990717
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Table of Contents
PYNQ Introduction
PYNQ HelloWorld: Image Resizing
Digital Signal Processing Experiment on PYNQ
Basic Communication Experiment on PYNQ
Neural Network Experiment on PYNQ.
PYNQ HelloWorld: Image Resizing
Digital Signal Processing Experiment on PYNQ
Basic Communication Experiment on PYNQ
Neural Network Experiment on PYNQ.