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CellularAutomaton   (Built-in Mathematica Symbol)
CellularAutomaton[rule, init, t] generates a list representing the evolution of the cellular automaton with the specified rule from initial condition init for t steps. ...
Special Forms of Assignment   (Mathematica Tutorial)
Particularly when you write procedural programs in Mathematica, you will often need to modify the value of a particular variable repeatedly. You can always do this by ...
Forms of Input and Output   (Mathematica Tutorial)
Here is one way to enter a particular expression. Here is another way to enter the same expression. With a notebook front end, you can also enter the expression directly in ...
Concurrency: Managing Parallel Processes   (Parallel Package Tutorial)
A process is simply a Mathematica expression being evaluated. A processor is a parallel kernel that performs such evaluations. The command ParallelEvaluate discussed in the ...
ParallelSum   (Built-in Mathematica Symbol)
ParallelSum[expr, {i, i_max}] evaluates in parallel the sum \[Sum]i = 1 i_max expr.ParallelSum[expr, {i, i_min, i_max}] starts with i = i min.ParallelSum[expr, {i, i_min, ...
ParallelEvaluate   (Built-in Mathematica Symbol)
ParallelEvaluate[expr] evaluates the expression expr on all available parallel kernels and returns the list of results obtained.ParallelEvaluate[expr, kernel] evaluates expr ...
ParallelProduct   (Built-in Mathematica Symbol)
ParallelProduct[expr, {i, i_max}] evaluates the product \[Product]i = 1 i_max expr in parallel.ParallelProduct[expr, {i, i_min, i_max}] starts with i = ...
ParallelDo   (Built-in Mathematica Symbol)
ParallelDo[expr, {i_max}] evaluates expr in parallel i_max times. ParallelDo[expr, {i, i_max}] evaluates expr in parallel with the variable i successively taking on the ...
KernelObject   (Built-in Mathematica Symbol)
KernelObject[n, name, ...] represents a kernel available for parallel computing.
ParallelCombine   (Built-in Mathematica Symbol)
ParallelCombine[f, h[e_1, e_2, ...], comb] evaluates f[h[e_1, e_2, ...]] in parallel by distributing parts of the computation to all parallel kernels and combining the ...
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