This application has requested the Runtime to terminate it

[Toniiiio]

I am running the unsupervised learning algorithm on

• 350k Mails and 55 Categories

  execute(
  commands = c("supervised", "-input", train_tmp_file_txt, "-output", tmp_file_model, "-dim", 100, "-lr", 1, "-epoch", 20, "-wordNgrams", 2, "-verbose", 1)
  )

Its difficult to make a reproducible example, since data is confidential. I also made a test with dummy data, where the code did not fail with over 2m "text elements". But i am very willing to do my best, to make it more reproducible if possible.

Issue: When running the execute part of the code Rstudio crashes with:

This application has requested the Runtime to terminate it in an unusual way. Please contact the application's support team for more information. terminate called recursively

Is this a known error?

What i tried:

• running with smaller sample size. 50 categories still works. So it seems size dependent. (Transfer to a larger machine is difficult for me).
• researching the error log. It seems to happen fpr wrong variable names: https://stackoverflow.com/questions/38970756/r-3-3-1-crashing-with-dplyr, or error in data.table package: https://stackoverflow.com/questions/8616862/r-terminates-with-error-message-this-application-has-requested-the-runtime-to-t. As i am "just feeding more data" it does not seem related.

Maybe there is a way to test the code easily outside R.

> sessionInfo()
R version 3.4.2 (2017-09-28)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server >= 2012 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252    LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                           LC_TIME=English_United States.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
[1] compiler_3.4.2 tools_3.4.2    packrat_0.5.0 

Hardware info:

[pommedeterresautee]

I had sometimes strange behaviour, each time not because of dataset size but few lines with encoding errors. Have tried to segment your dataset in parts and check each of them?

[Toniiiio]

Thank you so much for the fast response. I have made further analysis on the error:

• Yes, i chunked the data in two parts: Chunk 1: Categories 1:50, Chunk 2: 35:85 (total categories 85). Then it works. So it seems that all data is processed successfully.
• Therefore, It looked to me like a hardware bottleneck. I tried to monitor CPU and memory usage. From 12-13 categories on the CPU usage fastly increases to 100%. Memory usage seems to be fine. So its hard to tell for me if the CPU is the bottleneck.
• Tomorrow i will get access to two additional machines which might have more power.

Is it easy to extract the c++ code that is run? Then i could try to run without Rstudio and exclude it as a potential error source?