User`s guide

codistributed.sprandn

11-39

spmd(4)

CS = codistributed.sprandn(1000, 1000, .001);

end

creates a 1000-by-1000 sparse codistributed double array CS with approximately 1000

nonzeros. CS is distributed by its second dimension (columns), and each worker contains

a 1000-by-250 local piece of CS.

spmd(4)

codist = codistributor1d(2, 1:numlabs);

CS = sprandn(10, 10, .1, codist);

end

creates a 10-by-10 codistributed double array CS with approximately 10 nonzeros. CS is

distributed by its columns, and each worker contains a 10-by-labindex local piece of CS.

More About

Tips

When you use sprandn on the workers in the parallel pool, or in an independent or

communicating job (including pmode), each worker sets its random generator seed to

a value that depends only on the labindex or task ID. Therefore, the array on each

worker is unique for that job. However, if you repeat the job, you get the same random

data.