Create codistributed sparse identity matrix
CS = codistributed.speye(n)
CS = codistributed.speye(m,n)
CS
= codistributed.speye([m,n])
CS = speye(n,codist)
CS = speye(m,n,codist)
CS
= speye([m,n],codist)
CS = codistributed.speye(n) creates an
n-by-n sparse codistributed array of
underlying class double.
CS = codistributed.speye(m,n) or
CS
= codistributed.speye([m,n]) creates an
m-by-n sparse codistributed array of
underlying class double.
Optional arguments to codistributed.speye must be specified
after the required arguments, and in the following order:
codist — A codistributor object specifying the
distribution scheme of the resulting array. If omitted, the array is
distributed using the default distribution scheme. For information on
constructing codistributor objects, see the reference pages for codistributor1d and
codistributor2dbc.
'noCommunication' — Specifies that no
interworker communication is to be performed when constructing the array,
skipping some error checking steps.
CS = speye(n,codist) is the same as CS =
codistributed.speye(n,codist). You can also use the optional arguments
with this syntax. To use the default distribution scheme, specify a codistributor
constructor without arguments. For example:
spmd CS = codistributed.speye(8,codistributor1d()); end
CS = speye(m,n,codist) and
CS
= speye([m,n],codist) are the same as CS =
codistributed.speye(m,n) and CS =
codistributed.speye([m,n]), respectively. You can also use the
optional arguments with this syntax.
Note
To create a sparse codistributed array of underlying class logical, first
create an array of underlying class double and then cast it using the logical function:
CLS = logical(speye(m,n,codistributor1d()))
With four workers,
spmd(4) CS = speye(1000,codistributor()) end
creates a 1000-by-1000 sparse codistributed double array CS,
distributed by its second dimension (columns). Each worker contains a 1000-by-250
local piece of CS.
spmd(4) codist = codistributor1d(2,1:numlabs); CS = speye(10,10,codist); end
creates a 10-by-10 sparse codistributed double array CS,
distributed by its columns. Each worker contains a
10-by-labindex local piece of CS.