Speed Up and Deploy MapReduce Using Other Products
mapreduce with Parallel Computing Toolbox™, MATLAB®
Compiler™, use the
function to change the execution environment for
This enables you to start small to verify your map and reduce functions,
then quickly scale up to run larger calculations.
Running in Parallel
Parallel Computing Toolbox can immediately speed up your
by using the full processing power of multicore computers to execute
applications with a parallel pool of workers. If you already have Parallel Computing Toolbox installed,
then you probably do not need to do anything special to take advantage
of these capabilities. For more information about using
mapreduce with Parallel Computing Toolbox,
see Run mapreduce on a Parallel Pool (Parallel Computing Toolbox).
MATLAB Parallel Server enables you to run the same applications on a remote computer cluster. For more information, including how to configure MATLAB Parallel Server to support Hadoop® clusters, see Tall Arrays and mapreduce (Parallel Computing Toolbox).
Compiler enables you to create standalone
or deployable archives, which you can share with colleagues or deploy
to production Hadoop systems.
For more information, see MapReduce Applications on Hadoop Clusters (MATLAB Compiler).