Hi, BatchJobs package is popular to submit R batch jobs on various job scheduler. Now we are facing the question is to submit a Rmpi jobs. So we want to know how we can leverage BatchJobs to do so. After a bit investigation/enhancement, we tested below approach on OpenLava job scheduler. we want to get some inputs from the group to see how this makes sense to you. thanks, 1. R script that submit a Rmpi job using BatchJobs: library(BatchJobs) conf = BatchJobs:::getBatchJobsConf() conf$cluster.functions = makeClusterFunctionsOpenLava("/home/clusteradmin/rmpi.tmpl") <-- specify job template file that includes "mpirun" to start R job. reg = makeRegistry(id = "RMPIJobsExample") f = function(x) { <-- RMPI algorithm function. This is the normal Rmpi R script. library("Rmpi") ... mpi.spawn.Rslaves(nslaves=slaveno) ... mpi.remote.exec(paste("I am",mpi.comm.rank(),"of",mpi.comm.size())) ... } batchMap(reg, f, 1) <-- specify 1 Rmpi job submitJobs(reg, np=2) <-- specify number of processors to use showStatus(reg) waitForJobs(reg) showStatus(reg) 2. the job template: rmpi.tmpl #BSUB -q mpi_job_queue /opt/openlava/bin/openmpi-mpirun -np 1 R CMD BATCH "<%= rscript %>" Please let us know your comments, Thanks, Feng Li Teraproc Inc. [[alternative HTML version deleted]]