Parallel computing in Mathematica is based on launching and controlling multiple Mathematica kernel (worker) processes from within a single master Mathematica, providing a ...

The parallel computing features of Mathematica entirely replace the Parallel Computing Toolkit that was available up to Mathematica Version 6. As stated in the Introduction, ...

Introduction Getting Started Configuring and Monitoring

Recall that connections to remote kernels, as opened by LaunchKernels, are represented as kernel objects. See the chapter Connection Methods for details. The commands in this ...

Parallel kernels do not have access to the values of variables defined in the master kernel, nor do they have access to locally defined functions. Mathematica contains a ...

Special-purpose multiprocessing hardware comes in two types, shared memory and distributed memory. In a shared-memory machine, all processors have access to a common main ...

Mathematica's core tree-oriented symbolic language makes it well suited to working with a hierarchical view of C code as Mathematica expressions. This supports the use of the ...

CAddress[obj] is a symbolic representation of the address of an object.

CArray[name, args] is a symbolic representation of an array.

CAssign[lhs, rhs] is a symbolic representation of an assignment statement.