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Re: [HTCondor-users] Schedule jobs after each other on same node with shared scratch (GPU preproccessing)



Hi,

there are a lot of options to do so more or less elegant with condor on-board ressources.

E.g. you could allow only one of theses jobs at a time per type and then put the claime-liftime on the GPU node very high this would automatically run these jobs one after another on this one node ... 

Best
christoph



-- 
Christoph Beyer
DESY Hamburg
IT-Department

Notkestr. 85
Building 02b, Room 009
22607 Hamburg

phone:+49-(0)40-8998-2317
mail: christoph.beyer@xxxxxxx

----- UrsprÃngliche Mail -----
Von: "Erik Kooistra" <a66@xxxxxxxxx>
An: "htcondor-users" <htcondor-users@xxxxxxxxxxx>
Gesendet: Mittwoch, 18. MÃrz 2026 12:59:34
Betreff: [HTCondor-users] Schedule jobs after each other on same node with shared scratch (GPU preproccessing)

Hi All,

At NIKHEF we are seeing more and more GPU usage, and often those jobs 
have quite a long preprocessing stage to reformat the training inputs or 
other data files takes quite some time compared to the total runtime of 
the slot.

As a result of this we end up with slots that do request a GPU but don't 
actually use it for a big part of the claimed period what results in non 
optimal GPU usage.

Now copying this prepared data back to a network storage, and then copy 
it back to the scratch disk of the slot with a GPU is a bit waist full 
of network bandwidth.

So i was wondering if it would be possible to have in a DAG or some 
other way, a CPU intensive preproccessing job running on a node with a 
GPU, and  later in the process attaching the GPU to this slot or having 
a way to have a internal copy between the two jobs.

Any other suggestions that would work with the current limitations of 
condor are also more then welcome, (by for example having a node local 
scratch and having some constraints the jobs run after each other, altho 
then you miss the cleanup that condor does of the scratch)

Emily Kooistra
NIKHEF
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