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Optimize Performance

Optimize performance for specific goals, accelerate simulation speed and design efficient models

A high-performance Simulink^® model compiles and simulates quickly. Simulink provides techniques that you can use to speed up model simulation.

As a first step to improving simulation performance, use Performance Advisor. Performance Advisor checks for conditions that might be slowing down your simulations. The tool can automatically make changes to your model to address these conditions or you can review and apply suggested changes manually.

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Featured Examples

Introduction to Accelerating Models

Simulink® Accelerator™ speeds up the execution of your model, by creating and compiling C code. This C code takes the place of the interpretive code that Simulink uses when in Normal mode (that is, when Simulink® is not in Accelerator mode). Simulink Accelerator generates the C code from the Simulink model and invokes the MATLAB® mex function to compile and dynamically link the generated code to Simulink. This code generation and compilation process happens the first time you accelerate the model and any time the model changes are significant enough to require re-generation (for example, the addition of a block).

Open Model

Rapid Accelerator Simulations Using Parsim

The use of Rapid Accelerator in applications that require running parallel simulations for a range of input and parameter values.

Open Model

Implement an FFT on a Multicore Processor and an FPGA

Take advantage of a multicore processor target with FPGA acceleration by graphically partitioning a model. This example requires Simulink Coder™ to generate multi-threaded code and HDL Coder™ to generate HDL code. You cannot generate HDL code on Macintosh systems.

Open Model

Optimize Performance

Frequently Viewed Topics

Categories

Featured Examples

Introduction to Accelerating Models

Rapid Accelerator Simulations Using Parsim

Implement an FFT on a Multicore Processor and an FPGA