Load distributed arrays and Composite objects from disk
dload
dload filename
dload filename X
dload filename X Y Z ...
dload -scatter ...
[X,Y,Z,...] = dload('filename','X','Y','Z',...)
dload without any arguments retrieves all
variables from the binary file named matlab.mat.
If matlab.mat is not available, the command generates
an error.
dload filename retrieves all variables
from a file given a full pathname or a relative partial pathname.
If filename has no extension, dload looks
for filename.mat. dload loads
the contents of distributed arrays and Composite objects onto parallel
pool workers, other data types are loaded directly into the workspace
of the MATLAB® client.
dload filename X loads only variable X from
the file. dload filename X Y Z ... loads only
the specified variables. dload does not support
wildcards, nor the -regexp option. If any requested
variable is not present in the file, a warning is issued.
dload -scatter ... distributes nondistributed
data if possible. If the data cannot be distributed, a warning is
issued.
[X,Y,Z,...] = dload('filename','X','Y','Z',...) returns
the specified variables as separate output arguments (rather than
a structure, which the load function
returns). If any requested variable is not present in the file, an
error occurs.
When loading distributed arrays, the data is distributed over
the available parallel pool workers using the default distribution
scheme. It is not necessary to have the same size pool open when loading
as when saving using dsave.
When loading Composite objects, the data is sent to the available parallel pool workers. If the Composite is too large to fit on the current parallel pool, the data is not loaded. If the Composite is smaller than the current parallel pool, a warning is issued.
Load variables X, Y, and Z from
the file fname.mat:
dload fname X Y Z
Use the function form of dload to load distributed
arrays P and Q from file fname.mat:
[P,Q] = dload('fname.mat','P','Q');
Composite | distributed | dsave | load | parpool