A growing number of functions, System objects™, and features in several MATLAB® and Simulink® products offer the ability to take advantage of parallel computing resources without requiring any extra coding. You can enable this support by simply setting a flag or preference. To take advantage of this functionality on your desktop, you need Parallel Computing Toolbox™. To scale the parallel computing support to larger resources such as computer clusters, you also need MATLAB Distributed Computing Server™.
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Simulink | Ability to run multiple Simulink simulations using Ability to run multiple simulations in rapid accelerator mode using |
Documentation: Running Parallel Simulations Example: Parameter Sweep in Rapid Accelerator Mode Video: Running Multiple Simulink Simulations in Parallel (2:29) |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| MATLAB Coder | Use parfor to run MEX-files generated by MATLAB Coder in parallel | Example: Simulation Acceleration using System Objects, MATLAB Coder and Parallel Computing Toolbox |
| Embedded Coder | Generating and building code in parallel using model blocks |
Blog: Parallel Computing with Simulink: Model Reference Builds Release notes: Embedded Coder |
| Simulink Coder | Generating and building code in parallel using model blocks |
Blog: Parallel Computing with Simulink: Model Reference Builds Release notes: Simulink Coder |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Bioinformatics Toolbox | Ability to distribute pairwise alignments to a computer cluster using functions for progressive alignment of multiple sequences ( | Documentation: Multiple Sequence Alignment |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Control System Toolbox | Parallel computing support for tuning fixed-structure control systems with the |
Documentation: Speed Up Tuning with Parallel Computing Toolbox Software Release notes: Control System Toolbox |
| Robust Control Toolbox | Parallel computing support for tuning control systems with the |
Release notes: Robust Control Toolbox |
| Simulink Control Design | Parallel computing support for frequency response estimation of Simulink models |
Documentation: Speeding Up Estimation Using Parallel Computing Example: Speeding Up Frequency Response Estimation Using Parallel Computing Release notes: Simulink Control Design |
| Simulink Design Optimization | Parallel computing support for estimating model parameters, optimizing system response and sensitivity analysis |
Article: Improving Simulink Design Optimization Performance using Parallel Computing (PDF) Documentation: Speeding Up Response Optimization Using Parallel Computing Use Parallel Computing for Sensitivity Analysis
Release notes: Simulink Design Optimization Video: Speeding Up Design Optimization (5:11) |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Image Processing Toolbox | Option in Batch Image Processor to improve performance with parallel processing. Set the “Parallel” button in the toolstrip to use this option. Option in GPU acceleration for popular image processing functions such as |
Documentation: Image Processing Toolbox See GPU Computing section for a complete list of GPU-enabled functions |
| Computer Vision System Toolbox | Parallel execution support for functions in bag-of-words workflow including bagOfFeatures, bagOfFeatures.encode, trainImageCategoryClassifier, imageCategoryClassifier, and imageCategoryClassifier.predict |
Documentation: Enabling Parallel Support with Computer Vision System Toolbox Preferences |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Global Optimization Toolbox | Simultaneous exploration of local solution space in genetic algorithm, particle swarm, and pattern search solvers. The multistart solver runs the local solver from all starting points and can be run in parallel | Documentation: |
| Model-Based Calibration Toolbox | Parallel computing support for fitting multiple models to experimental data Running of multiple optimizations in parallel | Documentation: |
| Neural Network Toolbox | Parallel computing support for training and simulation GPU support for training and simulation | Documentation: Parallel Computing on CPUs and GPUs Release notes: Neural Network Toolbox |
| Optimization Toolbox | Accelerating gradient estimation in selected constrained nonlinear solvers Support for launching parallel computations from | Documentation: Parallel Computing for Optimization Example: Minimizing an Expensive Optimization Problem Using Parallel Computing Toolbox |
| Statistics and Machine Learning Toolbox | Parallel execution support using resampling functions: Parallel execution support for fitting multiclass support vector machines and other classifiers: Support in Parallel execution support for D-optimal design generation functions: Parallel execution support for functions with multiple starting points: More than 90 GPU-enabled functions in Statistics and Machine Learning Toolbox, including probability distribution, descriptive statistics, and hypothesis testing | Documentation: Parallel Computing Support for Resampling Methods Parallel Computing Support for Random Number Generation Parallel Computing Support for D-optimal Designs Parallel Computing Support for k-Means Clustering Parallel Computing Support for Nonnegative matrix factorization Statistics and Machine Learning Toolbox Functions with gpuArray Arguments |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Communications System Toolbox | GPU support for a select list of System objects. These System objects execute on GPU (graphics processing unit) to improve performance by reducing simulation time and are among the most commonly used functionality in the product:
MATLAB Compiler Support for GPU System Objects | Documentation: Simulation Acceleration Using Graphics Processing Units (GPUs) Examples: |
| Phased Array System Toolbox | Acceleration of clutter model simulation with | Documentation: Constant Gamma Clutter Simulation on GPU |
| Signal Processing Toolbox | GPU acceleration for | Example: Accelerating Correlation with GPUs |
| Product Name | Support Summary | Additional Resources |
|---|---|---|
| Simulink Test | Parallel computing support for test execution |
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