similar to: Snowfall - Error in checkForRemoteErrors(val) with sfClusterApplyLB()

The command which hangs: I'm hoping there is a simple explanation, but I searched on-line and nothing jumped out. > cl <- makeCluster(type="SOCK",c("localhost"),manual=TRUE) Manually start worker on localhost with C:/PROGRA~1/R/R-214~1.2/bin/Rscript.exe "C:/Program Files/R/R-2.14.2/library/snow/RSOCKnode.R" MASTER=localhost PORT=11944 OUT=/dev/null

Thanks to Luke Tiernay and some experimenting I found out some issues. I don't claim this infomation is complete, but it may be helpful for anyone experimenting with SNOW on Linux: - environment variables PATH and R_SNOW_LIB need to be set on master and slaves. (manually or permanent in ~/.bashrc (adjust your pathnames accordingly). Don't use ~ for home directory, instead specify

Dear expeRts, I'm currently trying to get data from a PostgreSQL database _in parallel_. I tried two methods: * passing the DBI Connection object to the cluster nodes * connecting the the DB on each node (1) The execution of the first method looks like this: > result = sfClusterApplyLB(input, fun, dbiCon) and produces an "expired PostgreSQLConnection" error. (Of course the

Dear Luke and others, I have many R versions on my machine and want to start a particular one when snow builds its cluster. (The same version I start snow from.) It seems that everything is set up correctly in defaultClusterOptions: > mget(ls(defaultClusterOptions), defaultClusterOptions) $homogeneous [1] TRUE $manual [1] FALSE $master nodename "maya.unil.ch" $outfile [1]

I'm running my script using mpirun -mp 4 and using snowfall+Rmpi on Linux 64bits. I receive the following error, but apparently without consequences on the results. Any idea? I'm able to reproduce it with a minimal script (below). Seems the critical issue is the for loop. Without it no error. Thanks for your help! TERM: Undefined variable. TERM: Undefined variable. TERM: Undefined

Dear R-listers, I have been using Snowfall (version 1.84) for parallel computing on a quad-PC running Windows 7 for a month or so without much problem. I started having problems runnnig R with Snowfall over our network when a new Novell client was installed for Windows 7. I experinenced network mapping problem with this new client. Our network colleague provided a fix which worked but a little

Hi all, I am trying to use snow package to do a parallel MCMC. I have read a few guides and articles, the following is that I came up with. When I run it I got the error message: Error in checkForRemoteErrors(lapply(cl, recvResult)) : 4 nodes produced errors; first error: could not find function "ui.Next" The data is a longitudinal data with few repeated readings on a number of

Hello, Just wondering why I am unable to run this in parallel. A dput of my dataset is attached at the end. Please use to create my data object. I want to run this function in parallel (not sure if this is an efficient implementation): #Function to calculate the time to maturity for the option require(fCalendar,quietly=TRUE) #Trying to calculate the trading days

Hola a tod en s, estoy realizando unas operaciones con muchos datos con el paquete "vegan", concretamente la función "metaMDS" y me gustaría saber si puedo usar más de un procesador a la vez para acelerar los cálculos. He visto el paquete "multicore" pero no sé usarlo, ¿alguien lo ha usado para algo así? Gracias y saludos, Javier -- http://oikos.inf.um.es

Hola: Hace como un mes pregunte si se podía desarrollar una barra de progreso que informara del progreso de una subida de datos a SQL Server desde R. Miguel Ángel me dio una orientacion de como enfocar el problema y al final lo he conseguido hacer usando el paquete snowfall. Ahora bien hay una parte del código que, aunque funciona no entiendo muy bien como, porque "adapte" un código

R-helpers: What would be the absolute fastest way to make a large "empty" file (e.g. filled with all zeroes) on disk, given a byte size and a given number number of empty values. I know I can use writeBin, but the "object" in this case may be far too large to store in main memory. I'm asking because I'm going to use this file in conjunction with mmap to do parallel