How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoC

How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoC

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How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoC

How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoC March 27, 2019 | 10:00 – 12:00

How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoChttp://webinar.eccn.com/details/2019032710006973.html

What do you get when the most popular microprocessor and the largest ecosystem combine with the most powerful programmable logic devices in the world? Flexibility? Performance? Scalability? Or unparalleled real-time determinism? The answer is: all of them! This combination of devices allows customers to easily and quickly add protocol support, I/O expansion, hardware acceleration, and future design enhancements.

In this seminar, you will gain the following information:

  1. How to use Arm Cortex-M1 and Cortex-M3 soft core IP for free in Xilinx FPGA.

  2. A step-by-step guide on all the steps necessary to develop a successful FPGA-based device, including integration and software development.

What makes this seminar most attractive is:No RTL hardware experience is required, as anyone can use Xilinx’s free design tools.

Speakers

How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoC

Leon Qin

Xilinx, Senior Processor Application Specialist

Joined Xilinx in 2012, familiar with embedded system architecture and embedded hardware and software development testing, with rich experience in embedded system architecture design and customer support, familiar with mainstream interfaces and development technologies in embedded systems. Before joining Xilinx, Mr. Qin had 8 years of field application engineer experience at Arm.

How to Integrate Arm Cortex-M Processors with Xilinx FPGA and SoC

Geng Lifeng

Arm, Senior Marketing Manager

Mr. Geng joined Arm in 2011 and serves as the Senior Marketing Manager for the IoT and Embedded Market in China, responsible for applications in white goods, smart energy, embedded vision, industrial control, embedded system control, general MCU, and IoT.

Previous live broadcasts:

  • How to Create the Perfect Industry 4.0 Human-Machine Interface – December 20

  • Accelerating Edge Analytics and Machine Learning Deployment in Motor Control Applications

  • How to Use Xilinx SoC to Accelerate AI Deployment in Automotive Applications

  • How to Integrate AI Functions in Cloud Acceleration Applications

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