On 18/07/2013 10:37, ONKELINX, Thierry wrote:
Dear all,
I am running the same model on several datasets, each dataset is a different
species. The problem is that for some datasets the model is not converging.
Currently I have an INLA model running for 35 days and still no results. The
process still uses near 100% of the CPU and less than 1 GB RAM on virtual
Ubuntu box with 8 GB RAM on a blade server.
I can kill the process manual and make the script skip this model. However it
would be more elegant if it was possible to automate this. E.g. let the model
run but kill it automatically once it runs for more than 7 days. Once killed
the model should throw an error so we can catch that in the error-handling.
Any suggestions on how to do this?
Learn how to use the R documentation. ??limit gave me some useful hits,
including to how I would do this.
However, as ?setTimeLimit points out, if this is running in C code, it
cannot be interrupted from the R interpreter. In that case, use
separate processes and your OS facilities (man ulimit, for example).
Best regards,
Thierry
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and
Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
thierry.onkel...@inbo.be
www.inbo.be
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