Distributed colon operation
codistributed.colon(a,d,b)
codistributed.colon(a,b)
codistributed.colon(___,codist)
codistributed.colon(___,'noCommunication')
codistributed.colon(___,codist,'noCommunication')
codistributed.colon(a,d,b) partitions the
vector a:d:b into numlabs contiguous
subvectors of equal, or nearly equal length, and creates a codistributed
array whose local portion on each worker is the labindex-th subvector.
codistributed.colon(a,b) uses d
= 1.
Optional arguments to codistributed.colon must
be specified after the required arguments, and in the following order:
codistributed.colon(___,codist) uses
the codistributor object codist to specify the
distribution scheme of the resulting vector. If omitted, the result
is distributed using the default distribution scheme. For information
on constructing codistributor objects, see the reference pages for codistributor1d and codistributor2dbc.
codistributed.colon(___,'noCommunication') or codistributed.colon(___,codist,'noCommunication') specifies
that no communication is to be performed when constructing the vector,
skipping some error checking steps.
Partition the vector 1:10 into four subvectors
among four workers.
spmd(4); C = codistributed.colon(1,10), end
Lab 1:
This worker stores C(1:3).
LocalPart: [1 2 3]
Codistributor: [1x1 codistributor1d]
Lab 2:
This worker stores C(4:6).
LocalPart: [4 5 6]
Codistributor: [1x1 codistributor1d]
Lab 3:
This worker stores C(7:8).
LocalPart: [7 8]
Codistributor: [1x1 codistributor1d]
Lab 4:
This worker stores C(9:10).
LocalPart: [9 10]
Codistributor: [1x1 codistributor1d]