Parallel for-Loops (parfor)
parfor on
workers in a parallel pool Parallel
Computing Toolbox™ supports interactive parallel
computing and enables you to accelerate your workflow by running on
multiple workers in a parallel pool. Use parfor to
execute for-loop iterations in parallel on workers
in a parallel pool. When you have profiled your code and identified
slow for-loops, try parfor to
increase your throughput. Develop parfor-loops
on your desktop and scale up to a cluster without changing your code.
Functions
Functions and Classes
parfor | Execute for-loop iterations in parallel on workers in parallel pool |
parpool | Create parallel pool on cluster |
parfeval | Execute function asynchronously on parallel pool worker |
ticBytes | Start counting bytes transferred within parallel pool |
tocBytes | Read how many bytes have been transferred since calling ticBytes |
send | Send data from worker to client using a data queue |
afterEach | Define a function to call when new data is received |
parallel.Pool | Access parallel pool |
parallel.pool.DataQueue | Class that enables sending and listening for data between client and workers |
Topics
Getting Started with parfor
Discover basic concepts of a parfor-loop,
and decide when to use it.
Convert for-Loops Into parfor-Loops
Diagnose and fix common parfor problems.
Ensure That parfor-Loop Iterations are Independent
Unlike a for-loop, parfor-loop
Iterations have no guaranteed order.
Nested parfor-Loops and for-Loops
Learn how to deal with parallel nested loops.
Troubleshoot Variables in parfor-Loops
Discover variable requirements and classification
in parfor-loops.
Running parfor-Loops
Interactively Run a Loop in Parallel Using parfor
Convert a slow for-loop into a
faster parfor-loop.
Create arrays inside or outside parfor-loops
to speed up code.
Learn about starting and stopping parallel pools, pool size, and cluster selection.
Specify Your Parallel Preferences
Specify your preferences, and automatically create a parallel pool.
Use Objects and Handles in parfor-Loops
Discover how to use objects, handles, and sliced variables
in parfor-loops.
Ensure Transparency in parfor-Loops
All references to variables in parfor-loops
must be visible in the body of the program.
Examples
Scale Up parfor-Loops to Cluster and Cloud
Develop parfor-loops on your
desktop, and scale up to a cluster without changing your code.
Use parfor-Loops for Reduction Assignments
You can use parfor-loops to calculate
cumulative values that are updated by each iteration.
Repeat Random Numbers in parfor-Loops
Control random number generation in parfor-loops
by assigning a particular substream for each iteration.
