User`s guide

4-5
Compatibility Considerations
The default preference setting is to automatically start a pool when a parallel language
construct requires it. If you want to make sure a pool does not start automatically, you
must change your parallel preference setting. You can also work around this by making
sure to explicitly start a parallel pool with parpool before encountering any code that
needs a pool.
By default, a parallel pool will shut down if idle for 30 minutes. To prevent this, change
the setting in your parallel preferences; or the pool indicator tool tip warns of an
impending timeout and provides a link to extend it.
Option to start a parallel pool without using MPI
You now have the option to start a parallel pool on a local or MJS cluster so that the
pool does not support running SPMD constructs. This allows the parallel pool to keep
running even if one or more workers aborts during parfor execution. You explicitly
disable SPMD support when starting the parallel pool by setting its 'SpmdEnabled'
property false in the call to the parpool function. For example:
p = parpool('SpmdEnabled',false);
Compatibility Considerations
Running any code (including MathWorks toolbox code) that uses SPMD constructs, on a
parallel pool that was created without SPMD support, will generate errors.
More GPU-enabled MATLAB functions (e.g., interp2, pagefun) and
Image Processing Toolbox functions (e.g., bwmorph, edge, imresize,
and medfilt2)
Image Processing Toolbox offers enhanced functionality for some of its functions to
perform computations on a GPU. For specific information, see the Image Processing
Toolbox release notes. Parallel Computing Toolbox is required to access this
functionality.
The following functions are new or enhanced in Parallel Computing Toolbox to support
gpuArrays:
flip