Parallel Computation Setup & Configuration
Mathematica automatically sets up the infrastructure for parallel computing on standard systems, and provides a variety of tools for sharing and synchronizing definitions across all kernels participating in a parallel computation.
Broadcasting Computations & Definitions
ParallelEvaluate —evaluate an expression on all parallel subkernels
DistributeDefinitions — distribute definitions to all parallel subkernels
ParallelNeeds — load the same package into all parallel subkernels
SetSharedVariable — set symbols to share values across subkernels
SetSharedFunction — set functions to share downvalues across subkernels
UnsetShared — stop sharing variables or functions
LaunchKernels — launch subkernels
AbortKernels — abort running computations on all subkernels
CloseKernels — close down subkernels
$KernelCount — number of currently running parallel subkernels
Kernels — list of currently running parallel subkernels
$KernelID — unique ID for each parallel subkernel
$ConfiguredKernels — default list of kernels to launch
