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Subject:

job memory limits, swap space limits, more swap space

From:

Peter Grandi <[log in to unmask]>

Reply-To:

Testbed Support for GridPP member institutes <[log in to unmask]>

Date:

Tue, 21 Jun 2011 14:12:26 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (84 lines)

some update on job memory limits from site experience and chat
on the ATLAS cloud mailing list (GraemeS replies were
particularly informative), most of this will be already familiar:

  * Some ILC 'Mokka' jobs here grew to many GB eventually
    overwhelming some of our WNs.
  * So I looked at mandatory memory limits. I am using Torque.
  * The 'resources_default' values for Torque queues are
    for jobs that don't explicitly specify a reservation.
    For those jobs these seem to be enforced.
  * The 'resources_max' limit values explicitly specified by
    jobs, and the latter also also enforced.
  * Torque makes a difference between real and virtual memory
    reservations, and per-job and per-process ones. In my case
    the latter two are the same.
  * Torque enforces these by setting 'ulimit -m' and '-v'.
    ATLAS job wrappers have their own limits (see Feb chat on
    memory limits on this mailing list).
  * Conventionally WNs are sized to have 2GiB physical memory
    per core.

Some subtleties:

  * ATLAS require ~2GB of physical memory and ~4GB of
    virtual memory per job:
      >
https://twiki.cern.ch/twiki/bin/view/Atlas/SL5Migration#Virtual_Memory
    The VM has to be larger because of roundups in
    memory mappings.
  * MAUI takes into account reservations when scheduling, so
    if 8 jobs reserve each 2GiB of physical memory and 4GiB of
    VM then the WN must have at least 16GiB of memory and
    32GiB of swap to run them all.
  * In particular a WN running 8x jobs with a 2GiB physical
    memory reservation *must* have more than 16GiB because
    several hundred MiBs of memory are used by the kernel and
    tables and page cache etc. Similarly for swap.

In practice I have rounded down the ATLAS requirement to 2000MiB
of physical memory and 4000MiB of virtual memory (instead of
2048 and 4096) to allow running 8 jobs on a 16GiB WN or 12 on a
24GiB one. Example from one of the latter, extracted from
'diagnose -n | less -S':

> Name                    State  Procs     Memory         Disk          Swap
> n99.dur.scotgrid.ac.     Busy   0:12      98:24098  384246:440815  33392:79392

Note the 98MiB free of memory out of 24098: that's because the
reserved memory is 12x2000MiB. Note that 24GiB is 24576MiB, so
478MiB are unavailable to jobs. Most jobs don't actually use
2GiB, this is the current memory usage on the same WN:

>              total       used       free     shared    buffers     cached
> Mem:      24676608    9421048   15255560          0     574576    4519376
> -/+ buffers/cache:    4327096   20349512
> Swap:     56621748       5584   56616164

And the average memory used per process is around 0.5GiB (they
are mostly ATLAS production jobs).

One thing that I had to change is that the WNs were originally
configured with around 20-28GiB of swap space, but if ATLAS
require ~4GB of virtual memory space reserved per jobs that is
not sufficient and jobs won't fill the available cores.

Since swap files in 2.6 are fairly efficient, especially if
fairly contiguous, I have added a 50GB swap file to all WNs.

My current Torque settings for a typical queue are:

> set queue q2d resources_default.mem             =2000mb
> set queue q2d resources_default.pmem            =2000mb
> set queue q2d resources_default.pvmem           =4000mb
> set queue q2d resources_max.mem                 =16000mb
> set queue q2d resources_max.pmem                =16000mb
> set queue q2d resources_max.pvmem               =16000mb

I am somewhat unsure as to whether I should set 'vmem' too, or
set 'mem' at all, or viceversa.

 Any the "Shell Process Limits" section here seems to match:

> http://svr017.gla.scotgrid.ac.uk/factory/auto/logs/2011-06-21/UKI-SCOTGRID-DURHAM-ce01/261112.0.out

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