Choose a Parallel Computing Solution - MATLAB & Simulink (original) (raw)
Do you want to process your data faster?
Profile your code.
MATLAB
Profile Your Code to Improve Performance
Vectorize your code.
MATLAB
Use automatic parallel computing support in MathWorks® products.
MATLAB
Parallel Computing Toolbox
Run MATLAB Functions with Automatic Parallel Support
If you have a GPU, try gpuArray.
MATLAB
Parallel Computing Toolbox
Use parfor.
MATLAB
Parallel Computing Toolbox
Interactively Run Loops in Parallel Using parfor
Do you want to speed up simulations?
Use parsim.
Simulink®
Parallel Computing Toolbox
Running Multiple Simulations (Simulink)
Are you looking for other ways to speed up your processing?
Try parfeval.
MATLAB
Parallel Computing Toolbox
Evaluate Functions in the Background Using parfeval
Try spmd.
MATLAB
Parallel Computing Toolbox
Run Single Programs on Multiple Data Sets
Do you want to scale up your big data calculation?
To work with out-of-memory data with any number of rows, use tall arrays.
This workflow is well suited to data analytics and machine learning.
MATLAB
Big Data Workflow Using Tall Arrays and Datastores
Use tall arrays in parallel on your local machine.
MATLAB
Parallel Computing Toolbox
Use Tall Arrays on a Parallel Pool
Use tall arrays in parallel on your cluster.
MATLAB
Parallel Computing Toolbox
MATLAB Parallel Server
Use Tall Arrays on a Spark Cluster
If your data is large in multiple dimensions, usedistributed instead.
This workflow is well suited to linear algebra problems.
MATLAB
Parallel Computing Toolbox
MATLAB Parallel Server
Run MATLAB Functions with Distributed Arrays
Do you want to offload to a cluster?
Use batch to run your code on clusters and clouds.
MATLAB Parallel Server
Use batchsim to run your simulations on clusters and clouds.
Simulink
MATLAB Parallel Server
Running Multiple Simulations (Simulink)