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.

eye(___,'codistributed')	randi(___,'codistributed')
false(___,'codistributed')	randn(___,'codistributed')
Inf(___,'codistributed')	codistributed.cell
NaN(___,'codistributed')	codistributed.spalloc
ones(___,'codistributed')	codistributed.speye
true(___,'codistributed')	codistributed.sprand
zeros(___,'codistributed')	codistributed.sprandn
rand(___,'codistributed')

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	Array of infinity
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 uniformly distributed pseudo-random values
eye	Identity matrix
false	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
rand	Array of rand values
redistribute	Redistribute codistributed array with another distribution scheme
sparse	Create sparse distributed or codistributed matrix
true	Array of logical 1 (true)

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