MATLAB 알고리즘 가속화

생성된 MEX 함수를 사용한 가속화

MEX 함수를 생성하여 MATLAB^® 코드의 계산량이 많은 부분을 가속화합니다. 최상의 결과를 얻으려면 모범 사례를 따르고 최적화 전략을 사용하십시오.

함수

codegen Generate C/C++ code from MATLAB code

MATLAB 알고리즘을 가속화하는 워크플로
MATLAB 알고리즘을 가속화하는 워크플로를 따릅니다.
Accelerate MATLAB Algorithms
Accelerate MATLAB algorithms by generating MEX functions.
Generate MEX Functions by Using the MATLAB Coder App
Follow the workflow for generating MEX functions with the MATLAB Coder™ app.
Generate MEX Functions at the Command Line
Follow the workflow for generating MEX functions with codegen.
Code Generation for Incremental Learning (Statistics and Machine Learning Toolbox)
Generate code that implements incremental learning for binary linear classification at the command line.
Best Practices for Using MEX Functions to Accelerate MATLAB Algorithms
Follow best practices for using MEX functions to accelerate MATLAB algorithms.
Profile MEX Functions by Using MATLAB Profiler
See execution times and code coverage for generated MEX functions in MATLAB Profiler.
Control Run-Time Checks
Improve performance by disabling run-time checks.
Optimize Generated C/C++ and MEX Code
Optimize the execution speed or memory usage of generated C/C++ and MEX code.
Use Generated Code to Accelerate an Application Deployed with MATLAB Compiler
Use MATLAB Coder to accelerate an algorithm used by an application that you intend to deploy with MATLAB Compiler™.