Transfer distributed array or gpuArray to local workspace
X = gather( can operate on the following
gpuArray: Transfers the elements of
Afrom the GPU to the local workspace and assigns them to
On a distributed array, outside an
spmdstatement: Gathers together the elements of
Afrom the multiple workers to the local workspace and assigns them to
On a codistributed array, inside an
spmdstatement or communicating job: Gathers together the elements of
Aand replicates them into
Xon every worker.
You can call
gather on other data types, such as tall arrays (See
gather (tall)). If the data type does not support gathering, then
gather has no effect.
Gathering GPU arrays or distributed arrays can be costly and is generally not necessary unless you need to use your result with functions that do not support these types of arrays. For more information on function support, see Run MATLAB Functions on a GPU or Run MATLAB Functions with Distributed Arrays.
X = gather(gpuArray(X)),
X = gather(codistributed(X))
return the original array
[X1,X2,...,Xn] = gather(A1,A2,...,,Xn) gathers multiple arrays
A1,A2,...,,An into the corresponding outputs
X1,X2,...,Xn. The number of input arguments and output arguments must
X = gather(C,destination) converts a codistributed array
C to a variant array
X, such that all of the
elements are contained on the worker specified by
X is a 0-by-0 empty double on all other workers.
[X1,X2,...,Xn] = gather(C1,C2,...,Cn,destination) gathers
C1,C2,...,Cn into corresponding outputs
X1,X2,...,Xn, with all elements on the worker specified by
destination. The number of input arguments and output arguments must
Gather the results of a GPU operation to the MATLAB® workspace.
G = gpuArray(rand(1024,1)); F = sqrt(G); % Input and output are both gpuArray W = gather(G); % Return array to workspace whos
Name Size Bytes Class Attributes F 1024x1 8192 gpuArray G 1024x1 8192 gpuArray W 1024x1 8192 double
Gather Distributed Arrays
Gather all of the elements from a distributed array
D onto the
n = 10; parpool('Processes',4); D = distributed(magic(n)); % Distribute array to workers M = gather(D) % Return array to client
Gather Codistributed Arrays
Distribute a magic square across your workers, then gather the whole matrix onto
every worker and then onto the client. This code results in the equivalent of
= magic(n) on all workers and the client.
n = 10; parpool('Processes',4); spmd C = codistributed(magic(n)); M = gather(C) % Gather all elements to all workers end S = gather(C) % Gather elements to client
Gather all of the elements of
C onto worker 1, for operations
that cannot be performed across distributed arrays.
n = 10; spmd C = codistributed(magic(n)); out = gather(C,1); if spmdIndex == 1 % Characteristic sum for this magic square: characteristicSum = sum(1:n^2)/n; % Ensure that the diagonal sums are equal to the % characteristic sum: areDiagonalsEqual = isequal ... (trace(out),trace(flipud(out)),characteristicSum) end end
Worker 1: areDiagonalsEqual = logical 1
A — Array to gather
gpuArray | distributed array | codistributed array
Array to gather, specified as a gpuArray, distributed array, or codistributed array.
gather assembles the codistributed or distributed array in
the workspaces of all the workers on which it executes, or on the MATLAB client, respectively, but not both. If you are using
spmd statement, the gathered array is
accessible on the client via its corresponding
Composite object; see Access Worker Variables with Composites. If you
gather in a communicating job, you can return the gathered
array to the client as an output argument from the task.
gather function requires communication between all the workers,
you cannot gather data from all the workers onto a single worker by placing the function
inside a conditional statement such as
if spmdIndex == 1.
Introduced in R2006b