Determine how to modify your MATLAB® code so that the generated code uses less memory. When calling functions, control how data is passed by using the same variables for input and output. Passing by reference reduces the memory used in generated code. Control how memory is allocated by setting limits for stack space usage and by specifying when dynamic memory allocation is used. Minimize code size by disabling features that generate additional code, such as support for integer overflow.
For more information about how to optimize your code for specific conditions, see Optimization Strategies.
coder.inline | Control inlining in generated code |
coder.const | Fold expressions into constants in generated code |
coder.ceval | Call external C/C++ function |
coder.Constant | Represent set containing one MATLAB value |
coder.ExternalDependency | Interface to external code |
Prevent Code Generation for Unused Execution Paths
Make a control-flow variable constant to prevent code generation of unused branches.
Avoid Data Copies of Function Inputs in Generated Code
Generate code that passes input arguments by reference.
Control Inlining to Fine-Tune Performance and Readability of Generated Code
Inlining eliminates the overhead of function calls but can produce larger C/C++ code and reduce code readability.
Specify the maximum stack space that the generated code can use.
Fold Function Calls into Constants
Reduce execution time by replacing expression with constant in the generated code.
Set Dynamic Memory Allocation Threshold
Disable dynamic memory allocation for arrays less than a certain size.
Reuse Large Arrays and Structures
Specify variable reuse to reduce memory usage.
Disable Support for Integer Overflow or Nonfinites
Improve performance by suppressing generation of supporting code to handle integer overflow or nonfinites.
Integrate External/Custom Code
Improve performance by integrating your own optimized code.
Speed Up Linear Algebra in Generated Standalone Code by Using LAPACK Calls
Generate LAPACK calls for certain linear algebra functions. Specify LAPACK library to use.
Speed Up Matrix Operations in Generated Standalone Code by Using BLAS Calls
Generate BLAS calls for certain low-level matrix operations. Specify BLAS library to use.
Speed Up Fast Fourier Transforms in Generated Standalone Code by Using FFTW Library Calls
Generate FFTW library calls for fast Fourier transforms. Specify the FFTW library.
Optimize the execution speed or memory usage of generated code.
Excluding Unused Paths from Generated Code
Make the control-flow variable constant to prevent generation of code for unused branches.
Stack Allocation and Performance
Allocate large variables on the heap when you have limited stack space.
MATLAB Coder Optimizations in Generated Code
To improve the performance of generated code, the code generator uses optimizations.
Disable Support for Integer Overflow or Nonfinites
Improve performance by suppressing generation of supporting code to handle integer overflow or nonfinites.
Code Generation for Sparse Matrices
Use sparse matrices in MATLAB code intended for code generation.