Access elements of distributed arrays from client
You can also create a distributed array explicitly from the client with any of several overloaded MATLAB functions.
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.
to retrieve distributed arrays into the client work space.
|classUnderlying||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|
|false||Array of logical 0 (false)|
|gather||Transfer distributed array or gpuArray to local workspace|
|Inf||Array of infinity|
|isaUnderlying||True if distributed array's underlying elements are of specified class|
|isdistributed||True for distributed array|
|NaN||Array of Not-a-Numbers|
|ones||Array of ones|
|rand||Array of rand values|
|randi||Array of random integers|
|randn||Array of randn values|
|sparse||Create sparse distributed or codistributed matrix|
|true||Array of logical 1 (true)|
|zeros||Array of zeros|
The overloaded methods for distributed arrays are too numerous to list here. Most resemble and behave the same as built-in MATLAB functions. See MATLAB Functions on Distributed and Codistributed 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: