This bothers me when I do some very simple simulations:

[1]
output: [f"performance_test/{x+1}.out" for x in range(500)]
run:
  touch performance_test/{1..500}.out

[2]
r = [x for x in range(500)]
input: group_by = 1, paired_with = 'r'
output: [f"performance_test/{x+1}.rds" for x in range(500)], group_by = 1
task: concurrent = True
R: expand = '${ }'
  x = rnorm(${_r[0]})
  saveRDS(x, ${_output:r})

If you run this script, you'll see it halts for a second or 2 at the end of every batch of completed jobs. I can understand that things like signature checks etc are on going. Therefore a simple simulation that takes < 10 sec as a for loop can take as much as > 700 secs with SoS -- the overhead takes way longer time than the actual computation. I remember it used to be 10 sec vs > 100 secs before last summer. Now I guess as signature check becomes more strict and careful about racing conditions the whole process is a lot slower. Is there still room for optimization?