ParallelProduct

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`ParallelProduct`

Unsupported in Public Cloud

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ParallelProduct[expr,{i,i_max}]

evaluates the product in parallel.

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ParallelProduct[expr,{i,i_min,i_max}]

starts with .

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ParallelProduct[expr,{i,i_min,i_max,di}]

uses steps .

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ParallelProduct[expr,{i,{i₁,i₂,…}}]

uses successive values , , ….

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ParallelProduct[expr,{i,i_min,i_max},{j,j_min,j_max},…]

evaluates the multiple product in parallel.

Details and Options

ParallelProduct is a parallel version of Product, which automatically distributes partial multiplications among different kernels and processors.
ParallelProduct will give the same results as Product, except for side effects during the computation.
Parallelize[Product[expr,iter,…]] is equivalent to ParallelProduct[expr,iter,…].
If an instance of ParallelProduct cannot be parallelized it is evaluated using Product.
The following options can be given:

Method	Automatic	granularity of parallelization
DistributedContexts	$DistributedContexts	contexts used to distribute symbols to parallel computations
ProgressReporting	$ProgressReporting	whether to report the progress of the computation

The Method option specifies the parallelization method to use. Possible settings include:

	"CoarsestGrained"	break the computation into as many pieces as there are available kernels
	"FinestGrained"	break the computation into the smallest possible subunits
	"EvaluationsPerKernel"->e	break the computation into at most e pieces per kernel
	"ItemsPerEvaluation"->m	break the computation into evaluations of at most m subunits each
	Automatic	compromise between overhead and load balancing

Method->"CoarsestGrained" is suitable for computations involving many subunits, all of which take the same amount of time. It minimizes overhead, but does not provide any load balancing.
Method->"FinestGrained" is suitable for computations involving few subunits whose evaluations take different amounts of time. It leads to higher overhead, but maximizes load balancing.
The DistributedContexts option specifies which symbols appearing in expr have their definitions automatically distributed to all available kernels before the computation.
The default value is DistributedContexts:>$DistributedContexts with $DistributedContexts:=$Context, which distributes definitions of all symbols in the current context, but does not distribute definitions of symbols from packages.
The ProgressReporting option specifies whether to report the progress of the parallel computation.
The default value is ProgressReporting:>$ProgressReporting.