xx_comm_stop_warning: Global Stop and Warning Functions

In pbdMPI: R Interface to MPI for HPC Clusters (Programming with Big Data Project)

Global Stop and Warning Functions

Description

These functions are global stop and warning applying on distributed data for all ranks, and are called by experts only. These functions may lead to potential performance degradation and system termination.

Usage

comm.stop(..., call. = TRUE, domain = NULL,
          all.rank = .pbd_env$SPMD.CT$print.all.rank,
          rank.print = .pbd_env$SPMD.CT$rank.source,
          comm = .pbd_env$SPMD.CT$comm,
          mpi.finalize = .pbd_env$SPMD.CT$mpi.finalize,
          quit = .pbd_env$SPMD.CT$quit)

comm.warning(..., call. = TRUE, immediate. = FALSE, domain = NULL,
             all.rank = .pbd_env$SPMD.CT$print.all.rank,
             rank.print = .pbd_env$SPMD.CT$rank.source,
             comm = .pbd_env$SPMD.CT$comm)

comm.warnings(...,
              all.rank = .pbd_env$SPMD.CT$print.all.rank,
              rank.print = .pbd_env$SPMD.CT$rank.source,
              comm = .pbd_env$SPMD.CT$comm)

comm.stopifnot(..., call. = TRUE, domain = NULL,
               all.rank = .pbd_env$SPMD.CT$print.all.rank,
               rank.print = .pbd_env$SPMD.CT$rank.source,
               comm = .pbd_env$SPMD.CT$comm,
               mpi.finalize = .pbd_env$SPMD.CT$mpi.finalize,
               quit = .pbd_env$SPMD.CT$quit)

Arguments

...	variables to be cat.
call.	see stop() and warnings().
immediate.	see stop() and warnings().
domain	see stop() and warnings().
all.rank	if all ranks print (default = FALSE).
rank.print	rank for printing if not all ranks print (default = 0).
comm	communicator for printing (default = 1).
mpi.finalize	if MPI should be shutdown.
quit	if quit R when errors happen.

Details

These functions will respectively apply stop(), warning(), warnings(), and stopifnot() locally.

Value

comm.stop() and comm.stopifnot() terminate all ranks, comm.warning() returns messages, and comm.warnings() print the message.

Author(s)

Wei-Chen Chen [e-mail], George Ostrouchov, Drew Schmidt, Pragneshkumar Patel, and Hao Yu.

References

Programming with Big Data in R Website: https://pbdr.org/

Examples

## Not run: 
### Save code in a file "demo.r" and run with 2 processors by
### SHELL> mpiexec -np 2 Rscript demo.r

spmd.code <- "
### Initialize
suppressMessages(library(pbdMPI, quietly = TRUE))

if(comm.size() != 2){
  comm.cat(\"2 processors are requried.\n\", quiet = TRUE)
  finalize()
}

### Examples.
comm.warning(\"test warning.\n\")
comm.warnings()
comm.stop(\"test stop.\n\")
comm.stopifnot(1 == 2)

### Finish.
finalize()
"
# execmpi(spmd.code, nranks = 2L)

## End(Not run)

pbdMPI documentation built on Sept. 10, 2023, 5:06 p.m.