Slurm uses more memory than allocated
As you can see in the picture below, I have made a sbatch script so that 10 job array (with 1GB of memory allocation) to be run. However, when I run it as the second picture shows, the memory used is 3.7% of total memory, which equates to about 18.9GB per job... Could anyone explain why this is happening?
(I did sbatch --nodelist node1 ver_5_FINAL_array_bash on the linux terminal )
Thank you!
For reference, the picture below shows that the amount of allocated memory is indeed 10GB, as specified in the sbatch script
Possibly pertinent information: our servers use both slurm and regular job submissions (without any job submission methods like slurm)
By default, the --mem option gives the minimum memory requirement (see the documentation here: https://slurm.schedmd.com/sbatch.html#OPT_mem)
- Math.Sin() gives incorrect value
- How to run my python script when the sunOS is start booting
- Express-session: not resetting cookie expiration on each request
- Getting a stack overflow exception when normalizing a vector
- Edit default summary function in R gives error for multiple variables
- What was a For loop? Why isn't it needed in R?
- How to use download button in shiny and save results in various formats (csv, texte, pdf, spss...)?
- Why are there two assignment operators, `<-` and `->` in R?
- lm()$assign: what is it?
- How to get the value of list(...) in R and S functions
- Design matrix for MLM from library(lme4) with fixed and random effects
- how to generate elements not included in my sample
- Create a matrix with gradually changing values without a for loop
- Emacs ESS and S-plus ( S+ ) 8.1 compatability
- How to lag date-index in a time-series in R?
- Nonlinear regression in R / S
- Calling R from S-Plus?