MultiprocessFuture-class

MultiprocessFuture

An R <a rd-options="base" href="/link/expression?package=future&version=1.3.0&to=base" data-mini-rdoc="base::expression">expression</a>.

expr

The <a rd-options="" href="/link/environment?package=future&version=1.3.0" 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 rd-options="base" href="/link/substitute?package=future&version=1.3.0&to=base" data-mini-rdoc="base::substitute">substitute</a>()</code>:ed, otherwise not.

substitute

Additional named elements passed to <code><a rd-options="" href="/link/Future?package=future&version=1.3.0" data-mini-rdoc="future::Future">Future</a>()</code>.

&#8230;

If TRUE, the expression is evaluated such that
all assignments are done to local temporary environment, otherwise
the assignments are done to the global environment of the <span style="R">R</span> process
evaluating the future.

local

An multiprocess future is a future whose value will be resolved asynchronously in a parallel process

internal

The purpose of this package is to provide a lightweight and
unified Future API for sequential and parallel processing of R
expression via futures.  The simplest way to evaluate an expression
in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`.
This package implements sequential, multicore, multisession, and
cluster futures.  With these, R expressions can be evaluated on the
local machine, on in parallel a set of local machines, or distributed
on a mix of local and remote machines.
Extensions to this package implements additional backends for
processing futures via compute cluster schedulers etc.
Because of its unified API, there is no need to modify code in order
switch from sequential on the local machine to, say, distributed
processing on a remote compute cluster.
Another strength of this package is that global variables and functions
are automatically identified and exported as needed, making it
straightforward to tweak existing code to make use of futures.

Henrik Bengtsson

future

Unified Parallel and Distributed Processing in R for Everyone

MultiprocessFuture-class function

An R <a rd-options='base' href='expression'>expression</a>.

The <a rd-options='' href='environment'>environment</a> in which the evaluation
is done (or inherits from if <code>local</code> is TRUE).

If TRUE, argument <code>expr</code> is
<code><a rd-options='base' href='substitute'>substitute</a>()</code>:ed, otherwise not.

Additional named elements passed to <code><a rd-options='' href='Future'>Future</a>()</code>.

MultiprocessFuture-class: An multiprocess future is a future whose value will be resolved asynchronously in a parallel process

Description

Usage

Arguments

Value

See Also