| global which, which.max, and which.min {pbdMPI} | R Documentation |
These functions are global which, which.max and which.min applying on distributed data for all ranks.
comm.which(x, arr.ind = FALSE, useNames = TRUE,
comm = .pbd_env$SPMD.CT$comm)
comm.which.max(x, comm = .pbd_env$SPMD.CT$comm)
comm.which.min(x, comm = .pbd_env$SPMD.CT$comm)
x |
a 'logical' vector or array as in |
arr.ind |
logical, as in |
useNames |
logical, as in |
comm |
a communicator number. |
These functions will apply which(), which.max() and
which.min() locally, and apply allgather() to get all local
results from other ranks.
The global values (which(), which.max(), or which.min())
are returned to all ranks.
comm.which() returns with two columns, 'rank id' and 'index of
TRUE'.
comm.which.max() and comm.which.min() return with three
values, 'the _smallest_ rank id', 'index of the _first_ maximum or minimum',
and 'max/min value of x'.
Wei-Chen Chen wccsnow@gmail.com, George Ostrouchov, Drew Schmidt, Pragneshkumar Patel, and Hao Yu.
Programming with Big Data in R Website: http://r-pbd.org/
## Not run:
### Save code in a file "demo.r" and run with 2 processors by
### SHELL> mpiexec -np 2 Rscript demo.r
### Initial.
suppressMessages(library(pbdMPI, quietly = TRUE))
init()
if(comm.size() != 2){
comm.cat("2 processors are requried.\n", quiet = TRUE)
finalize()
}
### Examples.
a <- 1:(comm.rank() + 1)
b <- comm.which(a == 2)
comm.print(b)
b <- comm.which.max(a)
comm.print(b)
b <- comm.which.min(a)
comm.print(b)
### Finish.
finalize()
## End(Not run)