codistributed.NaN - Create codistributed array of Not-a-Number values

Syntax

Description

C = codistributed.NaN(n) creates an n-by-n codistributed matrix of NaN values.

C = codistributed.NaN(m, n, ...) or C = codistributed.NaN([m, n, ...]) creates an m-by-n-by-... codistributed array of NaN values.

Optional arguments to codistributed.NaN must be specified after the required arguments, and in the following order:

• classname — Specifies the class of the codistributed array C. Valid choices are the same as for the regular NaN function: 'double' (the default), or 'single'.

• 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.

C = NaN(n, codist) is the same as C = codistributed.NaN(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
    C = NaN(8, codistributor1d());
end

C = NaN(m, n, ..., codist) and C = NaN([m, n, ...], codist) are the same as C = codistributed.NaN(m, n, ...) and C = codistributed.NaN([m, n, ...]), respectively. You can also use the optional arguments with this syntax.

Examples

With four labs,

spmd(4)
    C = NaN(1000, codistributor())
end

creates a 1000-by-1000 codistributed double matrix C of NaN values, distributed by its second dimension (columns). Each lab contains a 1000-by-250 local piece of C.

spmd(4)
    codist = codistributor('1d', 2, 1:numlabs);
    C = NaN(10, 10, 'single', codist);
end

creates a 10-by-10 codistributed single array C, distributed by its columns. Each lab contains a 10-by-labindex local piece of C.

See Also

codistributed.Inf | distributed.NaN | NaN

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