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Run a Computation in Parallel—Wolfram Documentation

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Take advantage of multicore computers by running compute-intensive computations on multiple kernels.

Use ParallelTable to parallelize a Table computation. For example, evaluate $ProcessID on parallel kernels, returning the process ID of each kernel:

• The number of kernels available for parallel computation typically corresponds to the number of CPU cores.
• A parallel computation may run more slowly than the non-parallel version if the computation takes less time than the overhead of parallelization.

On a multicore CPU, ParallelTable may run significantly faster than Table:

Use ParallelMap to parallelize a Map computation. For example, identify the images on the Wikipedia page on dogs:

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