ClusterFuture

ClusterFuture-class

MultisessionFuture

MultisessionFuture-class

An R <a href="/link/expression?package=future&version=0.12.0&to=base" rd-options="base" data-mini-rdoc="base::expression">expression</a>.

expr

The <a href="/link/environment?package=future&version=0.12.0" rd-options="" data-mini-rdoc="future::environment">environment</a> in which the evaluation
is done (or inherits from if <code>local</code> is TRUE).

envir

If TRUE, argument <code>expr</code> is
<code><a href="/link/substitute?package=future&version=0.12.0&to=base" rd-options="base" data-mini-rdoc="base::substitute">substitute</a>()</code>:ed, otherwise not.

substitute

If TRUE, the expression is evaluated such that
all assignments are done to local temporary environment, otherwise
the assignments are done in the global environment of the cluster node.

local

A <code><a href="/link/cluster?package=future&version=0.12.0&to=parallel%3AmakeCluster" rd-options="parallel:makeCluster" data-mini-rdoc="parallel:makeCluster::cluster">cluster</a></code>.

cluster

An cluster future is a future whose value will be resolved asynchroneously in a parallel process

internal

A Future API for R is provided. In programming, a future is an
    abstraction for a value that may be available at some point in the future.
    The state of a future can either be unresolved or resolved. As soon as it is
    resolved, the value is available. Futures are useful constructs in for instance
    concurrent evaluation, e.g. parallel processing and distributed processing on
    compute clusters. The purpose of this package is to provide a lightweight
    interface for using futures in R. Functions 'future()' and 'value()' exist for
    creating futures and requesting their values, e.g.
    'f <- future({ mandelbrot(c(0.28,0), side=2) })' and 'v <- value(f)'.
    The 'resolve()' function can be used to check if a future is resolved or not.
    An infix assignment operator '%<=%' exists for creating futures whose values
    are accessible by the assigned variables (as promises), e.g.
    'v %<=% { mandelbrot(c(0.28,0), side=2) }'.
    This package implements synchronous "lazy" and "eager" futures, and asynchronous
    "multicore", "multisession" and ad hoc "cluster" futures.
    Globals variables and functions are automatically identified and exported.
    Required packages are attached in external R sessions whenever needed.
    All types of futures are designed to behave the same such that the exact
    same code work regardless of futures used or number of cores, background
    sessions or cluster nodes available.
    Additional types of futures are provided by other packages enhancing
    this package.

ClusterFuture-class: An cluster future is a future whose value will be resolved asynchroneously in a parallel process

Description

Usage

Arguments

Value

See Also