Transfer distributed array data or gpuArray to local workspace
X = gather(A)
X = gather(C, lab)
X = gather(A) can operate inside an spmd statement, pmode, or parallel job to gather together the data of a codistributed array, or outside an spmd statement to gather the data of a distributed array. If you execute this inside an spmd statement, pmode, or parallel job, X is a replicated array with all the data of the array on every worker. If you execute this outside an spmd statement, X is an array in the local workspace, with the data transferred from the multiple workers.
X = gather(distributed(X)) or X = gather(codistributed(X)) returns the original array X.
X = gather(C, lab) converts a codistributed array C to a variant array X, such that all of the data is contained on worker lab, and X is a 0-by-0 empty double on all other workers.
For a gpuArray input, X = gather(A) transfers the data from the GPU to the local workspace.
If the input argument to gather is not a distributed, a codistributed, or a gpuArray, the output is the same as the input.
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 M = magic(n) on all workers and the client.
n = 10; spmd C = codistributed(magic(n)); M = gather(C) % Gather data on all workers end S = gather(C) % Gather data on client
Gather all of the data in 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 labindex == 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 Lab 1: areDiagonalsEqual = 1
Gather all of the data from a distributed array into D on the client.
n = 10; D = distributed(magic(n)); % Distribute data to workers M = gather(D) % Return data to client
Gather the results of a GPU operation to the local workspace.
G = gpuArray(rand(1024,1)); F = sqrt(G); %input and output both gpuArray W = gather(G); % Return data to client whos Name Size Bytes Class F 1024x1 108 gpuArray G 1024x1 108 gpuArray W 1024x1 8192 double
Note that 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 gather within an spmd statement, the gathered array is accessible on the client via its corresponding Composite object; see Access Worker Variables with Composites. If you are running gather in a parallel job, you can return the gathered array to the client as an output argument from the task.
As the 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 labindex == 1.