Hi Amjad,

As Moe commented, SLURM has a frontend configuration mode that can help
you. However, there are code related to resources using local functions
along with data created during initialization. For example, you can not
use affinity plugin with frontend mode due to code mixing real hardware
information from the node running slurmd with "virtual" node information
received from the slurmctld. And I guess this dependency is not just at
the affinity plugin.

We are using frontend mode for splitting a NUMA machine in virtual nodes
and I've been working on the affinity plugin problem lately. I've a
patch for solving  this issue but it requires more testing.

On 09/05/2012 03:35 AM, amjad syed wrote:
> Hello,
>
> We are working on concept of "super node" which transparently connects
> heterogeneous light weight compute nodes to storage and services
> subsystem. The light weight compute nodes will be used exclusively for
> computational purposes and no service daemons will be running on these
> light weight compute nodes.
> We have open source implementation of this product is hosted on github.
> ( https://github.com/HPCLinks/Open-Vertex)
>
> So in terms of SLURM, the light weight compute nodes will not have
> slurmd daemons running on it. The management node  daemon (slurmctld)
> will only communicate with "super node" daemon (slurmd). This slurmd
> daemon should be able to get dynamic resource information from light
> weight compute nodes attached to "super node" and pass that
> information to management node. We are looking at maximum 10 light
> weight compute nodes  attached to  one  "super node".
>
>
>
>
> Can slurmd running on compute node manage  remote resources (such as
> memory) ?
>
> What is the best way forward to integrate VERTEX with  SLURM ?
>
> Sincerely,
> Amjad



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