Model with Persistent Variables
R2026bPersistent variables enable you to model registers. Use persistent variables and System objects to model state and delays in a MATLAB design for HDL code generation.
Persistent array variables enable you to model RAM. By default, the HDL Coder™ software optimizes the area of your design by mapping persistent array variables to RAM.
Topics
- Map Persistent Variables and Persistent Arrays to RAM
MATLAB persistent variable and persistent array variable language support for HDL and High-Level Synthesis (HLS) code generation.
- Generate Hardware Instances for Local Functions
The following example shows how to use local functions in MATLAB, so that each execution of a local function corresponds to a separate hardware module in the generated HDL code.
- Map Persistent Arrays and dsp.Delay Objects to RAM
If your MATLAB code or Simulink MATLAB Function block contains long persistent arrays or
dsp.DelaySystem object™ objects, you can reduce the FPGA resources that your design uses by mapping them to block RAM. - Map Matrices to ROM
Map matrices to implement ROM in MATLAB and Simulink.
Featured Examples
Model States and Delays in HDL Code by Using Persistent Variables and System Objects
Model state and delays in a MATLAB® design for HDL code generation by using persistent variables and System objects™. In this example, you use two versions of the same Sobel edge-detection algorithm to compare both approaches and examine the resulting hardware resources in the code generation report.
Map Matrices to Block RAMs to Reduce Area
Use the RAM mapping optimization in HDL Coder™ to map persistent matrix variables to block RAMs in hardware.
