Optimize the generated code by using the memset function to clear the internal storage. When you select the model configuration parameter Use memset to initialize floats and doubles to 0.0,
Use inline invariant signals to optimize the generated code. This optimization transforms symbolic names of invariant signals into constant values.
Optimize generated code by storing logical signals as Boolean data. When you select the model configuration parameter Implement logic signals as Boolean data (vs. double), blocks that
How the code generator combines for loops. The generated code uses for constructs to represent a variety of modeling patterns, such as a matrix signal or Iterator blocks. Using data
Use floating-point multiplication to handle a net slope correction. When converting floating-point data types to fixed-point data types in the generated code, a net slope correction is
How the code generator optimizes generated code by removing code that has no effect on computational results. This optimization:
How the code generator eliminates dead (that is, unused) code paths from generated code. This optimization increases execution speed and conserves ROM and RAM consumption.
How Simulink Coder handles complex signals efficiently. To view the data types of the signals, update the model using Simulation > Update Diagram. Complex signals are represented as
How Simulink® Coder™ optimizes generated code by setting block output that generates vectors to scalars, for blocks such as the Mux, Sum, Gain, and Bus. This optimization reduces stack
Expression folding optimizes code to minimize the computation of intermediate results at block outputs and the storage of such results in temporary buffers or variables. When expression
This model shows a fixed-point version of an acoustic noise canceller.
Optimize the generated code for a model that contains Switch and Multiport Switch blocks. When you select the model configuration parameter Conditional input branch execution, Simulink
This model shows fixed-point code generation in Simulink®, Stateflow®, and MATLAB®.
Optimize the generated code by inlining the numeric values of block parameters. Block parameters include the Gain parameter of a Gain block and the table data and breakpoint sets of an n-D
These examples show how to generate efficient code by configuring a block parameter to use the same data type as a signal that the block operates on.
When you use a parameter object (for example, Simulink.Parameter) to set block parameter values, you can configure the object to appear in the generated code as a tunable global variable. By
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
Generate optimized code that reads from and writes to global variables less frequently.
If your model has the optimal parameter settings for removing data copies, you might be able to remove additional data copies by using Simulink.Signal objects to specify buffer reuse. After
Optimize the generated code by packing Boolean data into bitfields. When you select the model configuration parameter Pack Boolean data into bitfields, Embedded Coder® packs the Boolean
You can reuse buffers for matrices that have different sizes and shapes. In the Configuration Parameters dialog box, you enable this optimization by selecting Reuse buffers of different
Optimize generated code by removing code that protects against division by zero and overflows in division INT_MIN/-1 operations for integers and fixed-point data. If you are sure that
How the code generator optimizes fixed-point operations by replacing expensive division operations with highly efficient product operations. This optimization improves execution
To improve execution efficiency, the code generator can change the block execution order. In the Configuration Parameters dialog box, when you set the Optimize Block Order parameter to
Avoid introducing a double-precision data type in code generated for a single-precision hardware target.
Remove initialization code for root-level inports and outports set to zero. If your embedded application does not require generating initialization code for external data whose value is
How the code generator removes temporary buffers for Data Store Read and Data Store Write blocks. This optimization improves execution speed and reduces RAM consumption.
Eliminate code that initializes internal data to zero. If your embedded application does not require generating initialization code for internal data whose value is zero, you can enable
How the minimum and maximum values specified on signals and parameters in a model are used to optimize the generated code.
Reduce ROM and RAM consumption and data copies and increase execution speed of generated code. Configure the code generator to reuse global variables by selecting the model configuration
Optimize generated code by combining if-else statements that share the same condition. This optimization:
This model shows how to insert pragmas for functions and data in generated code.
How passing reusable subsystem outputs as individual arguments instead of as a pointer to a structure stored in global memory optimizes the generated code. This optimization conserves RAM
Develop a code replacement library that includes an entry for generating replacement code for the math function sin . You use the Code Replacement Tool.