ParallelCases

✖
`ParallelCases`

Unsupported in CloudNew in 14.2

✖

ParallelCases[{e₁,e₂,…},pattern]

gives a list of the e_i that match the pattern, in parallel.

✖

ParallelCases[expr,pattern,levelspec]

gives a list of all parts of expr on levels specified by levelspec that match the pattern.

Details and Options

ParallelCases is a parallel version of Cases.
ParallelCases will give the same results as Cases, except for side effects during the computation.
Parallelize[Cases[data,pattern]] is equivalent to ParallelCases[data,pattern].
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.