Execution Speed

The code generator uses data dependency analysis to combine for constructs to reduce static code size and runtime branching.

Starting at a default value of 5, the code generator begins to use a for loop instead of separate statements to assign values to the elements of a signal or parameter array.

The code generator eliminates dead (that is, unused) code paths from the generated code.

For processors that support efficient multiplication, improve code efficiency by using floating-point multiplication to handle a net slope correction.

Reduce global RAM usage by inlining the literal numeric values of block parameters.

Generate fixed-point code in Simulink^®, Stateflow^®, and MATLAB^®.

Customize generated algorithm code with target-specific optimizations.

For Switch and Multiport Switch blocks, Simulink executes only blocks that compute the control input and the data input that the control input selects.

The code generator performs various optimizations on the structures that represent signals in the generated code.

Generate LAPACK calls for certain linear algebra functions in a MATLAB function block. Specify LAPACK library to use.

Generate BLAS calls for certain low-level matrix operations. Specify BLAS library to use.

Generate FFTW library calls for fast Fourier transforms in a MATLAB Function block. Specify the FFTW library.

Implement FFT library callback class methods and provide supporting C code to prevent concurrent access to FFTW planning.

Disable dynamic memory allocation or specify a dynamic memory allocation threshold for MATLAB Function blocks.

Improve the execution speed of the generated code using Intel^® SSE and Intel AVX technology.

Generate optimized code for reduction operations using SIMD instruction sets.