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© Copyright 2018 Xilinx
Cathal McCabe, Xilinx University Program
Vision processing
© Copyright 2018 Xilinx
Agenda
˃ Machine vision
˃ Zynq/Zynq Ultrascale
˃ SDSoC
˃ Libraries
˃ PYNQ
˃ Reduced precision
˃ XUP
>> 2
© Copyright 2018 Xilinx
“Machine Vision Market Size to Gain USD 15.46
Billion by 2022 Growing at 8.18% CAGR”
˃ Key areas that can benefit
most from machine vision
Food & beverage
Automotive
Healthcare
˃ Requirements
High speed
Low latency
Low Power
Reliability
˃ =Heterogeneous
architectures
>> 3 *Market Research Future (MRFR) 2017
© Copyright 2018 Xilinx
Slowing to 3% per year
Page 4
Computing performance increase
*John Hennessy and David Patterson, Computer Architecture: A Quantitative Approach, 6/e. 2018
© Copyright 2018 Xilinx
Zynq-7000 Architeture
>> 5
© Copyright 2018 Xilinx
Zynq® UltraScale+ MPSoC System Features
>> 6
© Copyright 2018 Xilinx
© Copyright 2018 Xilinx
Scaling the Productivity with Technology
Advancement
Performance / Watt & ‘Any to Any’ Connectivity
EaseofDevelopment
CPU
Zynq SoC &
MPSoC
GPU
ARM SoCs
& DSPs
Zynq SoC &
MPSoC
HLS
>> 8
© Copyright 2018 Xilinx
˃ ASSP-like programming experience
˃ Full system optimizing compiler
˃ System-level profiling
˃ Expert use model for platform developers
and system architects
The SDSoC Development Environment
C/C++ Development
System-level Profiling
Specify C/C++Functions
for Acceleration
Full system
Optimizing Compiler
Rapid
System Level
Performance
Estimation
Page 9
© Copyright 2018 Xilinx
˃ Eliminates manual design of SW drivers and HW connectivity
˃ Automatically calls HLS to generate IPs
˃ Enables reuse of optimized HDL IP Blocks as C-callable libraries
˃ ‘One-click’ function acceleration in Programmable Logic
˃ Rapid system performance and area what-if analysis
SDSoC: Design Flow
Page 10
PL
PS
IP
Application
Driver
Datamover
PS-PL interface
IP’s
© Copyright 2018 Xilinx
˃ Optimized libraries for faster
programming
˃ Available from Xilinx and ecosystem
partners
https://www.xilinx.com/products/design-tools/software-zone/sdsoc.html#libraries
Libraries & Design Examples
>> 11
© Copyright 2018 Xilinx
Python Productivity for Zynq
© Copyright 2018 Xilinx
Frameworks
& Libraries
Development tools
Platforms
HDMI
MIPI
USB3
Machine Learning
© Copyright 2018 Xilinx
DeePhi Solution Stack for Deep Learning
Core API
Driver
Runtime
Loader
Profiler
Models
Framework
Tools & IP
AI HW Platforms
Compression
Pruning Quantization
Compilation
Compiler Assembler
Face detection Pose estimation Video analytics Lane detection Object detection Segmentation
Z7020 Board Z7020 SOM ZU2 SOM ZU2/3 Card ZU9 Card ZCU102 ZCU104 Ultra96
Darknet
© Copyright 2018 Xilinx
Python Productivity for Zynq
© Copyright 2018 Xilinx
>> 16
*https://xkcd.com/353/
© Copyright 2018 Xilinx
PYNQ Python Productivity on Zynq
Hardware
Engineers
Embedded software
Engineers
New users are not always hardware designers,
or embedded systems designers
Domain Experts
Software Engineers
Enables more people to program Xilinx
processing platforms, more productively
PYNQ also enables more rapid development for
h/w designers and embedded s/w engineers
>> 17
© Copyright 2018 Xilinx
Framework for Zynq, Zynq UltraScale+
APIs
Drivers
Bitstreams
Linux kernel
Python
FPGA
Overlay
fpga_manager sysgpio uio devmem
dma
axi_intc
Apps
Jupyter/
IPython
numpy opencvscikit-learnmatplotlib
PYNQ notebooks
XLNK
xlnk
GPIOPL Interrupt libcma.soMMIO
PYNQ libs
PYNQ IPs
PYNQ overlays
User designs
>> 18
© Copyright 2018 Xilinx
Software-style Packaging & Distribution of Designs
>> 19
Enabled by new hybrid packages
xDNN, A. Sirasao et al OpenCV, K. Denolf et alIIoT, C. Fritsch et alQNN, M. Blott et al
© Copyright 2018 Xilinx
Machine Learning on Xilinx FPGAs with FINN
˃ Experimental framework from Xilinx
Research Labs
˃ Explore low precision deep neural
network inference on FPGAs
˃ FINN Framework
Tool flow for rapid design generation
Templated Vivado HLS library of
streaming components
Ultra low-latency and high performance
with dataflow
Many end-to-end example designs
>> 20
https://xilinx.github.io/FINN/
© Copyright 2018 Xilinx
>> 21
© Copyright 2018 Xilinx
Summary
˃Zynq architecture ideal for machine vision
˃SDSoC for automated algorithm to hardware
˃Libraries
˃PYNQ
˃Reduced precision DNN
© Copyright 2018 Xilinx
>> 23
˃ Vivado
˃ SDSoC
˃ SDAccel
Zynq
MPSoC
Ultrascale
Academic
boards
Workshops
Partnership
program
Teaching
Research
enablement
Technical
Support
Conferences
Design
Contests
Special
Events
http://www.xilinx.com/university
© Copyright 2018 Xilinx
Adaptable.
Intelligent.

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HiPEAC 2019 Workshop - Vision Processing

  • 1. © Copyright 2018 Xilinx Cathal McCabe, Xilinx University Program Vision processing
  • 2. © Copyright 2018 Xilinx Agenda ˃ Machine vision ˃ Zynq/Zynq Ultrascale ˃ SDSoC ˃ Libraries ˃ PYNQ ˃ Reduced precision ˃ XUP >> 2
  • 3. © Copyright 2018 Xilinx “Machine Vision Market Size to Gain USD 15.46 Billion by 2022 Growing at 8.18% CAGR” ˃ Key areas that can benefit most from machine vision Food & beverage Automotive Healthcare ˃ Requirements High speed Low latency Low Power Reliability ˃ =Heterogeneous architectures >> 3 *Market Research Future (MRFR) 2017
  • 4. © Copyright 2018 Xilinx Slowing to 3% per year Page 4 Computing performance increase *John Hennessy and David Patterson, Computer Architecture: A Quantitative Approach, 6/e. 2018
  • 5. © Copyright 2018 Xilinx Zynq-7000 Architeture >> 5
  • 6. © Copyright 2018 Xilinx Zynq® UltraScale+ MPSoC System Features >> 6
  • 8. © Copyright 2018 Xilinx Scaling the Productivity with Technology Advancement Performance / Watt & ‘Any to Any’ Connectivity EaseofDevelopment CPU Zynq SoC & MPSoC GPU ARM SoCs & DSPs Zynq SoC & MPSoC HLS >> 8
  • 9. © Copyright 2018 Xilinx ˃ ASSP-like programming experience ˃ Full system optimizing compiler ˃ System-level profiling ˃ Expert use model for platform developers and system architects The SDSoC Development Environment C/C++ Development System-level Profiling Specify C/C++Functions for Acceleration Full system Optimizing Compiler Rapid System Level Performance Estimation Page 9
  • 10. © Copyright 2018 Xilinx ˃ Eliminates manual design of SW drivers and HW connectivity ˃ Automatically calls HLS to generate IPs ˃ Enables reuse of optimized HDL IP Blocks as C-callable libraries ˃ ‘One-click’ function acceleration in Programmable Logic ˃ Rapid system performance and area what-if analysis SDSoC: Design Flow Page 10 PL PS IP Application Driver Datamover PS-PL interface IP’s
  • 11. © Copyright 2018 Xilinx ˃ Optimized libraries for faster programming ˃ Available from Xilinx and ecosystem partners https://www.xilinx.com/products/design-tools/software-zone/sdsoc.html#libraries Libraries & Design Examples >> 11
  • 12. © Copyright 2018 Xilinx Python Productivity for Zynq
  • 13. © Copyright 2018 Xilinx Frameworks & Libraries Development tools Platforms HDMI MIPI USB3 Machine Learning
  • 14. © Copyright 2018 Xilinx DeePhi Solution Stack for Deep Learning Core API Driver Runtime Loader Profiler Models Framework Tools & IP AI HW Platforms Compression Pruning Quantization Compilation Compiler Assembler Face detection Pose estimation Video analytics Lane detection Object detection Segmentation Z7020 Board Z7020 SOM ZU2 SOM ZU2/3 Card ZU9 Card ZCU102 ZCU104 Ultra96 Darknet
  • 15. © Copyright 2018 Xilinx Python Productivity for Zynq
  • 16. © Copyright 2018 Xilinx >> 16 *https://xkcd.com/353/
  • 17. © Copyright 2018 Xilinx PYNQ Python Productivity on Zynq Hardware Engineers Embedded software Engineers New users are not always hardware designers, or embedded systems designers Domain Experts Software Engineers Enables more people to program Xilinx processing platforms, more productively PYNQ also enables more rapid development for h/w designers and embedded s/w engineers >> 17
  • 18. © Copyright 2018 Xilinx Framework for Zynq, Zynq UltraScale+ APIs Drivers Bitstreams Linux kernel Python FPGA Overlay fpga_manager sysgpio uio devmem dma axi_intc Apps Jupyter/ IPython numpy opencvscikit-learnmatplotlib PYNQ notebooks XLNK xlnk GPIOPL Interrupt libcma.soMMIO PYNQ libs PYNQ IPs PYNQ overlays User designs >> 18
  • 19. © Copyright 2018 Xilinx Software-style Packaging & Distribution of Designs >> 19 Enabled by new hybrid packages xDNN, A. Sirasao et al OpenCV, K. Denolf et alIIoT, C. Fritsch et alQNN, M. Blott et al
  • 20. © Copyright 2018 Xilinx Machine Learning on Xilinx FPGAs with FINN ˃ Experimental framework from Xilinx Research Labs ˃ Explore low precision deep neural network inference on FPGAs ˃ FINN Framework Tool flow for rapid design generation Templated Vivado HLS library of streaming components Ultra low-latency and high performance with dataflow Many end-to-end example designs >> 20 https://xilinx.github.io/FINN/
  • 21. © Copyright 2018 Xilinx >> 21
  • 22. © Copyright 2018 Xilinx Summary ˃Zynq architecture ideal for machine vision ˃SDSoC for automated algorithm to hardware ˃Libraries ˃PYNQ ˃Reduced precision DNN
  • 23. © Copyright 2018 Xilinx >> 23 ˃ Vivado ˃ SDSoC ˃ SDAccel Zynq MPSoC Ultrascale Academic boards Workshops Partnership program Teaching Research enablement Technical Support Conferences Design Contests Special Events http://www.xilinx.com/university
  • 24. © Copyright 2018 Xilinx Adaptable. Intelligent.