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In article <vp65ns$2gh03$1@dont-email.me>,VMS nodes in a VMS cluster with a some common VMS cluster setup.
Arne Vajhøj <arne@vajhoej.dk> wrote:On 2/19/2025 9:26 PM, Dan Cross wrote:Oh I see, you're using cluster here as a shorthand toIn article <67b66f14$0$712$14726298@news.sunsite.dk>,>
Arne Vajhøj <arne@vajhoej.dk> wrote:[snip]>
Yes. Which becomes a little easier when restricted to a
cluster instead of any systems.
I don't know what you mean when you say, "restricted to a
cluster instead of any systems."
A and B being in a cluster instead of being two
standalone nodes.
mean that they're in the same administrative domain.
Process migration would be a big huge task to implement.Sure. GPUs, as compute accelerators, are just one example.If you mean that this somehow>
makes managing state during process migration easier, then no,
not really; all of the same caveats apply. For instance,
if a program is using (say) a GPU for computation, part of
migrating it will be extracting whatever state it has in the
GPU out of the GPU, and replicating it on the destination
system.
>
At one point, the internal numbering of cores in the GPU was
visible to code running on the GPU, creating an $n \choose k$
fingerprinting problem for migration.
A VMS server process will not be using GPU.
It could be some other resource. The point is, process-level
migration is not a panacea; ksplice has its place, even with
its limitations.
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