Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices
This support package enables you to deploy a deep learning processor on Xilinx® FPGA and SoC based hardware from MATLAB
526 Downloads
Updated
19 Jun 2024
This support package includes pre-built bitstreams that program a deep learning processor and data movement IP cores onto a supported board. Connect the board using Ethernet or JTAG to configure and run deep learning inferencing on the FPGA fabric from MATLAB.
Together with HDL Coder™, you can generate a custom deep learning processor IP core and bitstream.
This hardware support package is functional for R2020b and beyond.
If you have download or installation problems, please contact Technical Support - www.mathworks.com/contact_ts
MATLAB Release Compatibility
Created with
R2020b
Compatible with R2020b to R2024b
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) LinuxCategories
- AI, Data Science, and Statistics > Deep Learning Toolbox >
- FPGA, ASIC, and SoC Development > Deep Learning HDL Toolbox > Deep Learning HDL Toolbox Supported Hardware >
- FPGA, ASIC, and SoC Development > SoC Blockset > SoC Blockset Supported Hardware > Intel Devices >
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