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Software DevelopersWe deliver solutions for the AI eraâcombining symbolic computation, data-driven insights and deep technical expertise
Wolfram SolutionsCourses in computing, science, life and more
Learn, solve problems and share ideas.
News, views and insights from Wolfram
Resources for
Software DevelopersThe functional and list-oriented characteristics of the Wolfram Language allow it to provide immediate built-in data parallelism, automatically distributing computations across available computers and processor cores.
Parallelize — perform a computation using automatic parallelization
ParallelMap — map a function in parallel over the elements of a list
ParallelTable — generate a table in parallel
ParallelDo ▪ ParallelSum ▪ ParallelProduct ▪ ParallelArray ▪ ParallelCases ▪ ParallelSelect
ParallelCombine — evaluate expressions in parallel and combine their results
Setup »DistributeDefinitions — distribute definitions needed for parallel computations
ParallelNeeds — load a package into all parallel subkernels
ClearDistributedDefinitions — clears previously distributed definitions
TuningMethod — how computations are distributed ("CoarsestGrained", "FinestGrained", ...)
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