codistributed

Access elements of arrays distributed among workers in parallel pool

Constructor

codistributed, codistributed.build

You can also create a codistributed array explicitly from spmd code or a communicating job task with any of several MATLAB functions.

• codistributed.cell

• codistributed.spalloc

• codistributed.speye

• codistributed.sprand

• codistributed.sprandn

Description

Arrays partitioned among the workers in a pool, are accessible from the workers as codistributed array objects.

Codistributed arrays on workers that you create inside spmd statements or from within task functions of communicating jobs can be accessed as distributed arrays on the client.

Methods

Inf	Create codistributed array of all Inf values
NaN	Create codistributed array of all NaN values
classUnderlying	(Not recommended) Class of elements within gpuArray or distributed array
codistributed.cell	Create codistributed cell array
codistributed.colon	Distributed colon operation
codistributed.spalloc	Allocate space for sparse codistributed matrix
codistributed.speye	Create codistributed sparse identity matrix
codistributed.sprand	Create codistributed sparse array of uniformly distributed pseudo-random values
codistributed.sprandn	Create codistributed sparse array of normally distributed pseudo-random values
eye	Create codistributed identity matrix
false	Create codistributed array of logical 0 (false)
gather	Transfer distributed array or gpuArray to local workspace
getCodistributor	Codistributor object for existing codistributed array
getLocalPart	Local portion of codistributed array
globalIndices	Global indices for local part of codistributed array
isaUnderlying	(Not recommended) True if distributed array's underlying elements are of specified class
iscodistributed	True for codistributed array
ones	Create codistributed array of all ones
rand	Create codistributed array of uniformly distributed random numbers
randi	Create codistributed array of uniformly distributed random integers
randn	Create codistributed array of normally distributed random numbers
redistribute	Redistribute codistributed array with another distribution scheme
sparse	Create codistributed sparse matrix
true	Create codistributed array of logical 1 (true)
zeros	Create codistributed array of all zeros

The methods for codistributed 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 there are several for examining the characteristics of the array itself. Most behave like the MATLAB functions of the same name:

Function	Description
iscodistributed	Determine if array is codistributed
isreal	Determine 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 R2008b