Reduce RAM and ROM consumption and increase code execution speed by eliminating data copies in the generated code. The code generator eliminates some data copies. You can eliminate other data copies by adjusting certain model parameter settings, specifying the same name for the input and output arguments of MATLAB Function blocks, and by using Simulink signals to specify reuse.
Optimize Generated Code By Passing Reusable Subsystem Outputs as Individual Arguments
The code generator eliminates data copies from local variables back to global block I/O structures by passing reusable subsystem outputs as individual arguments instead of as a pointer to a structure stored in global memory.
Minimize Computations and Storage for Intermediate Results at Block Outputs
The code generator folds block computations into a single expression, instead of generating separate code statements and storage declarations for each block in a model.
Reuse Global Block Outputs in the Generated Code
The code generator attempts to reuse global variables.
Enable and Reuse Local Block Outputs in Generated Code
Where possible, the code generator declares block outputs as local variables, so that it can potentially reuse these variables.
Convert Data Copies to Pointer Assignments
The code generator optimizes generated code for vector signal assignments by trying to
replace for loop controlled element assignments and
memcpy function calls with pointer assignments.
Virtualized Output Ports Optimization
The code generator eliminates code and data storage associated with root output ports by storing the signal entering the root output port as a global variable.
Use the numerical values of invariant signals instead of their symbolic names in the generated code.
Data Copy Reduction for Data Store Read and Data Store Write Blocks
The code generator attempts to eliminate data copies for Data Store Read and Data Store Write blocks.
Reduce Data Copies for Bus Assignment Blocks
For models containing a Bus Assignment block, if possible, the code generator uses the same variable for the block input and output.
Remove Data Copies by Reordering Block Operations in the Generated Code
Reorder block operations in the generated code to eliminate temporary variables and associated data copies.
Optimize Generated Code by Using Signal Labels to Guide Buffer Reuse
If your model has the optimal parameter settings for removing data copies, you might be able to remove additional data copies by using signal labels.
Optimize Global Variable Usage
Choose a global variable reference optimization to satisfy your memory usage and execution speed requirements.
Specify Buffer Reuse for MATLAB Function Blocks in a Path
Reuse buffers across MATLAB Function blocks.
Specify Buffer Reuse by Using Simulink.Signal Objects
Use a Simulink signal object to specify buffer reuse for multiple signals in a path that may include root inport and outport ports, Delay blocks, and Unit Delay blocks.
Generate Efficient Code for Bus Signals
Model buses to maximize efficiency of the generated code.