성능

생성된 코드 성능 향상을 위한 지침

코드 생성에 사용할 MATLAB^® 알고리즘을 설계할 경우 생성된 코드의 성능을 개선하려면 다음 지침을 따릅니다.

블록

Include MATLAB code in Simulink models

`coder.areUnboundedVariableSizedArraysSupported`	Check if current configuration settings allow unbounded variable-size arrays (R2024a 이후)
`coder.inline`	Control inlining of current function in generated code
`coder.inlineCall`	Inline called function in generated code (R2024a 이후)
`coder.nonInlineCall`	Prevent inlining of called function in generated code (R2024a 이후)
`coder.unroll`	Unroll `for`-loop by making a copy of the loop body for each loop iteration
`coder.const`	Fold expressions into constants in generated code

Unroll for-Loops and parfor-Loops
Control loop unrolling.
코드를 인라인으로 처리하기
인라인 처리는 함수 호출을 함수 본문으로 대체하기 때문에 함수 호출 오버헤드가 발생하지 않습니다.
Avoid Data Copies of Function Inputs in Generated Code
Generate code that passes input arguments by reference.
Generate Reusable Code
To reuse functions, save them in files or integrate external functions into generated code.
Control Run-Time Checks
Improve performance by disabling run-time checks.
LAPACK Calls for Linear Algebra in a MATLAB Function Block
LAPACK function calls improve the simulation speed of MATLAB Function block algorithms that call certain linear algebra functions.
BLAS Calls for Matrix Operations in a MATLAB Function Block
BLAS function calls improve the simulation speed of MATLAB Function block algorithms that call certain low-level vector and matrix functions.
FFTW calls for fast Fourier transform functions in a MATLAB Function Block
FFTW function calls improve the simulation speed of MATLAB Function block algorithms that call MATLAB fast Fourier transform (FFT) functions.