HDL Coder Support Package for Xilinx FPGA and SoC Devices
Generate and deploy HDL code and Embedded Software from MATLAB and Simulink for Xilinx FPGA and SoC devices
6.7K Downloads
Updated
11 Sep 2024
HDL Coder™ enables implementation of Simulink models and MATLAB algorithms onto Xilinx® FPGA and SoC devices for fast prototyping on hardware using the HDL Coder Support Package for Xilinx FPGA and SoC Devices. Using HDL Coder workflow, you can select the FPGA and SoC device, map your algorithm I/O to onboard interfaces, generate HDL IP core, and synthesize the generated code. HDL coder also provides integration with Xilinx tools to integrate the generated HDL IP core into the FPGA or SoC reference designs to generate bitstream that you can directly download on to the Xilinx FPGA or SoC devices, such as Zynq, Zynq Ultrascale+ MPSoC, Zynq Ultrascale+ RFSoC, and Versal Adaptive SoC devices. When used in combination with Embedded Coder, this solution can be utilized in a hardware/software workflow spanning simulation, C and HDL code generation, prototyping, verification, and implementation on a complete Xilinx SoC device.
Starting in R2024a,
- HDL Coder Support Package for Xilinx® Zynq® Platform is renamed to HDL Coder Support Package for Xilinx FPGA and SoC Devices.
- The functionality of HDL Coder Support Package for Xilinx FPGA Boards and HDL Coder Support Package for Xilinx RFSoC Devices is included in the HDL Coder Support Package for Xilinx FPGA and SoC Devices.
- You only need to install HDL Coder Support Package for Xilinx FPGA and SoC Devices to target all supported Xilinx FPGA and SoC Devices.
MATLAB Release Compatibility
Created with
R2016b
Compatible with R2016b to R2024b
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) LinuxCategories
- Code Generation > HDL Coder >
- FPGA, ASIC, and SoC Development > HDL Coder >
- Code Generation > HDL Coder > HDL Coder Supported Hardware >
- FPGA, ASIC, and SoC Development > HDL Coder > HDL Coder Supported Hardware >
- Image Processing and Computer Vision > Computer Vision Toolbox > Computer Vision Toolbox Supported Hardware >
- FPGA, ASIC, and SoC Development >
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