Hi R-hpc-team,

I are a new user of R. Currently using R 2.8.1 in windows 2003. we are a
small firm. with 5 client terminals attached to server. Each client runs on
windows 32 bit with 1 GB RAM.  we may not be able to increase the RAM beyond
2 GB per system.

Most of our projects datasets are around 5 GB to 10 GB. For initial data
preparation we are using sql server. But we are planning to move to mySQL
under windows so that we can integrate well with R. we experience system
crash frequently when process large ( 2-3 lakh records with 150 variables)
 culstering/ tree algorithms or data merging, spatial data analysis etc. we
some time face data loading problems.

Give the current system limitations. can you suggest ways to harness the
processing capabilities of all five systems using the hpc related packages
in R.

any help in this regard will be beneficial.

if you can help us communicate to companies with similar situations may help
exchange ideas for increaseing performance of R under these systems.

thanks in advance,
srinivas
business statistics analyst

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