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MATHEMATICA GUIDE
Data Parallelism
The functional and list-oriented characteristics of the core Mathematica language allow Mathematica to provide immediate built-in data parallelism, automatically distributing computations across available computers and processor cores.
Reference
Parallelize — perform a computation using automatic parallelization
ParallelMap — map a function in parallel over the elements of a list
ParallelTable — generate a table in parallel
ParallelDo ▪ ParallelSum ▪ ParallelProduct ▪ ParallelArray
ParallelCombine — evaluate expressions in parallel and combine their results
Setup »
DistributeDefinitions — distribute definitions needed for parallel computations
ParallelNeeds — load a package into all parallel subkernels
Tuning
Method — how computations are distributed 
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