Create distributed sparse array of uniformly distributed pseudo-random values
DS = distributed.sprand(m,n,density)
DS = distributed.sprand(m,n,density) creates an
n sparse distributed array with approximately
density*m*n uniformly distributed nonzero double entries.
Create a 1000-by-1000 sparse distributed double array
DS with approximately 1000 nonzeros.
DS = distributed.sprand(1000,1000,0.001);
When you use
sprand on the workers in the parallel pool, or in an independent or communicating job, each worker sets its random generator seed to a value that depends only on the
spmdIndex 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.
Introduced in R2009b