内存使用量

通过生成的代码优化 RAM、ROM 和堆栈空间的使用

可以通过以下方法控制内存消耗：指定代码生成器将变量定义为局部变量或全局变量，以及指定数据如何传递给子系统函数。修改配置设置以减少用于存储数据的内存量。

代码生成器通过合并控制流构造、删除不影响计算结果的模块的无效代码路径和代码来减少 ROM 消耗。您可以通过删除可能不需要的代码（如初始化代码、重置和禁用函数以及防御性代码）来进一步减少 ROM 消耗。

对象

coder.profile.ExecutionStackSet Aggregate stack usage profiling results from multiple SIL, PIL, or external mode simulations (自 R2023b 起)

`add`	Aggregate stack usage profiles (自 R2023b 起)
`get`	Extract specific stack usage profile from aggregate of profiles (自 R2023b 起)
`remove`	Remove stack usage profile from aggregate of profiles (自 R2023b 起)

Customize Stack Space Allocation
Control the maximum allowable stack size to provide some control over whether data is defined locally or globally in the generated code.
Reduce Memory Usage for Signals
Enable parameters that provide the capability to reuse memory allocated for signals.
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.
在生成的代码中重用全局模块输出
代码生成器尝试重用全局变量。
优化全局变量使用
选择全局变量引用优化来满足您的内存使用量和执行速度要求。
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.
Reduce Global Variables in Nonreusable Subsystem Functions
To reduce global RAM for a nonreusable subsystem, generate a function interface that passes data through arguments instead of global variables.
Reduce Memory Usage for Models Containing Referenced Models
Reduce RAM usage for a referenced model by generating optimized code that reuses buffers or generates reusable temporary buffers to hold referenced model outputs.

Remove Zero-Initialization Code
Control whether to initialize internal data (blocks states and block outputs) and external data (root inports and outports whose value is zero) in the generated code.
Remove Reset and Disable Functions from the Generated Code
Remove unreachable (dead-code) instances of the reset and disable functions from the generated code for ERT-based systems that include model referencing hierarchies.
Inline Invariant Signals
Use the numerical values of invariant signals instead of their symbolic names in the generated code.
Inline Numeric Values of Block Parameters
Reduce global RAM usage by inlining the literal numeric values of block parameters.
Optimize Generated Code by Consolidating Redundant If-Else Statements
The code generator optimizes the generated code by combining if-else statements that share the same condition.
Eliminate Dead Code Paths in Generated Code
The code generator eliminates dead (that is, unused) code paths from the generated code.
Optimize Generated Code by Combining Multiple for Constructs
The code generator uses data dependency analysis to combine for constructs to reduce static code size and runtime branching.
Control Generation of Initialization Code for Local Variables Set to Zero
By default, the code generator does not explicitly initialize local variables to zero.

Reuse Buffers of Different Sizes and Dimensions
Reuse buffers for matrices that have different sizes and shapes.
Reduce Memory Usage for Boolean and State Configuration Variables
Reduce the amount of memory that stores state configuration variables and Boolean variables.
优化时间计数器的内存使用量
优化代码生成器为经过时间计数器分配的内存。
Optimize Generated Code Using Boolean Data for Logical Signals
The code generator optimizes the generated code by storing logical signals as Boolean data types.
Optimize Generated Code by Packing Boolean Data into Bitfields
The code generator reduces RAM consumption by packing boolean data into 1-bit bitfields.
Vector Operation Optimization
The code generator reduces stack memory by replacing temporary local arrays with local variables.
Specify Single-Precision Data Type for Embedded Application
Generate code whose floating-point data types are only single precision, for example, for targeting a single-precision processor.
Generate Efficient Code by Specifying Data Types for Block Parameters
To generate more efficient code, match parameter data types with signal data types or store parameters in smaller data types.
Control Operator Type in Generated Code
Generate code with Logical or Bitwise Operators or a combination of both operators.