cluster-computing

I have a C++ program to which I pass two doubles as inputs from the command line using int main(int argc, char *argv[]){ double a,b; a = atof(argv[1]); b = atof(argv[2]); further code..... I run the code on a cluster using the qsub utility and I have a Bash script named 'jobsub.sh` to submit the jobs which looks like this: #!/bin/csh -f hostname cd /home/roy/codes/3D # Change directory first -- replace Mysubdir set startdir = `pwd` # Remember the directory we're in if( ! -d /scratch/$USER ) then mkdir /scratch/$USER # Create scratch directory endif # If it does not exist #cp infile12 /scratch/

I know I'm asking something very obvious about cluster failover. I read on redis.io that, if any master cluster node fails it will affect to other master nodes until slave come to take in charge. In my structure, I'm not defining any slave and just working with 3 masters. I'm thinking to modify the redis-trib.rb file, which will remove the defected server and will start the cluster with other 2 nodes. I'm confused about a couple of things, 1) Resharding Could not possible until failed server goes live 2) Minimum 3 node limitation for create cluster As per bit understanding, redis-trib.rb not

I am trying to fix an issue with running out of memory, and I want to know whether I need to change these settings in the default configurations file ( spark-defaults.conf ) in the spark home folder. Or, if I can set them in the code. I saw this question PySpark: java.lang.OutofMemoryError: Java heap space and it says that it depends on if I'm running in client mode. I'm running spark on a cluster and monitoring it using standalone. But, how do I figure out if I'm running spark in client mode? If you are running an interactive shell, e.g. pyspark (CLI or via an IPython notebook), by default

I am wondering how I might be able to run 500 parallel jobs in R using the Rscript function. I currently have an R file that has the header on top: args <- commandArgs(TRUE) B <- as.numeric(args[1]) Num.Cores <- as.numeric(args[2]) Outside of the R file, I wish to pass which of the 500 jobs are to be run, which is specified by B . Also, I would like to control the number of cores/CPUs available to each job, Num.Cores . I am wondering if there is software or guides that can allow this. I currently have a CentOS 7/Linux server and I know one way is to install Slurm. However, it is quite a hassle

BASIC PROBLEM: I want to submit N + 1 jobs to an LSF-managed Linux cluster in such a way that the ( N + 1)-st "wrap-up" job is not run until all the preceding N jobs have finished. EXTRA: If possible , it would be ideal if I could arrange matters so that the ( N + 1)-st ("wrap-up") job receives, as its first argument, a value of 0 (say) if all the previous N jobs terminated successfully, and a value different from 0 otherwise. This problem (or at least the part labeled "BASIC PROBLEM") is vastly simpler than what LSF's bsub appears to be designed to handle, so I have a hard time wading through

Could anyone point me or tell me how to write connection string to a SQL Server cluster instance? I want to establish trusted connection to a database (initial catalog) of the specific instance of a SQL Server cluster. I find for quite some time but can not find official answer from Google. I am asking for the connection string for C# ADO.Net code. I know how to write connection string to a normal one-machine non-cluster SQL Server instance. The connection string is written in the usual way; but in clustering you have 3 (or more) addresses: one for each node which constitues the cluster and