Xilinx Zynq Support from MATLAB and Simulink
Implement algorithms on Zynq SoC evaluation platforms using MATLAB, Simulink, HDL Coder, Embedded Coder, and SoC Blockset
- Xilinx Zynq Support from MATLAB and Simulink
- Xilinx FPGA Board Support from HDL Verifier
- Xilinx Zynq Support from Embedded Coder
- Xilinx Zynq Support from HDL Coder
- Trenz Electronic Motor Control Development Kit Support from Simulink
Capabilities and Features
Use Model-Based Design with MATLAB® and Simulink® to significantly reduce hardware-software codesign development time for systems based on Xilinx® Zynq® All Programmable SoCs and RFSoCs.
Move from concept, to code, to production using MathWorks hardware support, which offers:
- A complete solution for system and device modeling and simulation
- HDL IP core generation using HDL Coder™
- Linux executable generation using Embedded Coder®
- Simulation and analysis of architectures and performance with deployment to SoC devices using SoC Blockset™
- Testing of IP cores on Zynq hardware with FPGA-in-the-loop simulation, FPGA data capture and read/write access to AXI4 registers using HDL Verifier™
- Application-specific, synthesizable HDL using Wireless HDL Toolbox™, Vision HDL Toolbox™, and Deep Learning HDL Toolbox™
Supported Platforms and Workflows
Applications and Capabilities | Supported Zynq Platforms | Hardware Support Solutions |
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General Zynq Programming
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Wireless and Software-Defined Radio
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Motor Control
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Video Processing Design and prototype vision systems
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To learn more about workflows for Xilinx FPGAs, visit mathworks.com/xilinx.