distributed

Access elements of distributed arrays from client

Constructor

distributed

You can also create a distributed object using some MATLAB^® functions by specifying a distributed output. The following table lists the available MATLAB functions that can create distributed objects directly. For more information, see the Extended Capabilities section of the function reference page.

eye(___,"distributed")	distributed.cell
false(___,"distributed")	distibuted.colon
Inf(___,"distributed")	distributed.linspace
NaN(___,"distributed")	distributed.logspace
ones(___,"distributed")	distributed.spalloc
true(___,"distributed")	distributed.speye
zeros(___,"distributed")	distributed.sprand
rand(___,"distributed")	distributed.sprandn
randi(___,"distributed")
randn(___,"distributed")

Description

Distributed arrays represent those arrays which are partitioned out among the workers in a parallel pool. A distributed array resembles a normal MATLAB array in the way you index and manipulate its elements, but none of its elements exists on the client.

Codistributed arrays that you create inside spmd statements are accessible as distributed arrays from the client.

Use the gather function to retrieve distributed arrays into the client work space.

Methods

classUnderlying	(Not recommended) Class of elements within gpuArray or distributed array
distributed.cell	Create distributed cell array
distributed.spalloc	Allocate space for sparse distributed matrix
distributed.speye	Create distributed sparse identity matrix
distributed.sprand	Create distributed sparse array of uniformly distributed pseudo-random values
distributed.sprandn	Create distributed sparse array of normally distributed pseudo-random values
gather	Transfer distributed array, Composite array or gpuArray to local workspace
isaUnderlying	(Not recommended) True if distributed array's underlying elements are of specified class
isdistributed	True for distributed array
write	Write distributed data to an output location

The methods for distributed arrays are too numerous to list here. Most resemble and behave the same as built-in MATLAB functions. See Run MATLAB Functions with Distributed Arrays.

Also among the methods are several for examining the characteristics of the array itself. Most behave like the MATLAB functions of the same name:

Function	Description
isdistributed	Indication if array is distributed
isreal	Indication if array elements are real
isUnderlyingType	Determine if underlying data in the array is of specified type
length	Length of vector or largest array dimension
ndims	Number of dimensions in the array
size	Size of array dimensions
underlyingType	Class (data type) of the underlying data in the array

Version History

Introduced in R2008a