I have a memory issue with R. I'm running a big and complex analysis on R installed via anaconda in my home on a cluster from my institution. I created my environment so that I can install packages without problems. While running the following error occurs:
Error: cannot allocate vector of size 26.7 Gb
I checked the memory limit by typing memory.limit() but it appears to be Inf.
This is the output of my sessionInfo()
R version 3.6.1 (2019-07-05) Platform: x86_64-conda_cos6-linux-gnu (64-bit) Running under: CentOS Linux 7 (Core) Matrix products: default BLAS/LAPACK: /home/user/miniconda3/envs/py37/lib/libopenblasp-r0.3.7.so locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] compiler_3.6.1 tools_3.6.1
While running the tool responsible for the problem I performed ssh to a single node with 24 cores to allow the pipeline to run. Can anyone help me to solve this problem? Thank you in advance!
