mpi.gather | R Documentation |
mpi.gather
and mpi.gatherv
(vector variant) gather each
member's message to the member specified by the argument root
.
The root member receives the messages and stores them in rank
order. mpi.allgather
and mpi.allgatherv
are the same as
mpi.gather
and mpi.gatherv
except that all members receive
the result instead of just the root.
mpi.gather(x, type, rdata, root = 0, comm = 1)
mpi.gatherv(x, type, rdata, rcounts, root = 0, comm = 1)
mpi.allgather(x, type, rdata, comm = 1)
mpi.allgatherv(x, type, rdata, rcounts, comm = 1)
x |
data to be gathered. Must be the same type. |
type |
1 for integer, 2 for double, and 3 for character. Others are not supported. |
rdata |
the receive buffer. Must be the same type as the sender and big enough to include all message gathered. |
rcounts |
int vector specifying the length of each message. |
root |
rank of the receiver |
comm |
a communicator number |
For mpi.gather
and mpi.allgather
, the message to be gathered
must be the same dim and the same type. The receive buffer can be prepared as
either integer(size * dim) or double(size * dim), where size is the total
number of members in a comm. For mpi.gatherv
and mpi.allgatherv
,
the message to be gathered can have different dims but must be the same type.
The argument rcounts
records these different dims into an integer vector
in rank order. Then the receive buffer can be prepared as either
integer(sum(rcounts)) or double(sum(rcounts)).
For mpi.gather
or mpi.gatherv
, it returns the gathered
message for the root member. For other members, it returns what is in rdata,
i.e., rdata (or rcounts) is ignored. For mpi.allgather
or
mpi.allgatherv
, it returns the gathered message for all members.
Hao Yu
mpi.scatter
, mpi.scatterv
.
#Need 3 slaves to run properly
#Or use mpi.spawn.Rslaves(nslaves=3)
#mpi.bcast.cmd(id <-mpi.comm.rank(.comm), comm=1)
#mpi.bcast.cmd(mpi.gather(letters[id],type=3,rdata=string(1)))
#mpi.gather(letters[10],type=3,rdata=string(4))
# mpi.bcast.cmd(x<-rnorm(id))
# mpi.bcast.cmd(mpi.gatherv(x,type=2,rdata=double(1),rcounts=1))
# mpi.gatherv(double(1),type=2,rdata=double(sum(1:3)+1),rcounts=c(1,1:3))
#mpi.bcast.cmd(out1<-mpi.allgatherv(x,type=2,rdata=double(sum(1:3)+1),
# rcounts=c(1,1:3)))
#mpi.allgatherv(double(1),type=2,rdata=double(sum(1:3)+1),rcounts=c(1,1:3))
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