Not a debate, we're saying nearly the same thing but at different
"granularity". If you consider the core as a whole that's the effect you
see.
But a core is composed of different units (fetcher, decode/execute,
registers, ALU, FPU, MMU, etc). The concept behind hyperthreading is
having some
We are pleased to announce the availability of Slurm release candidate
version 23.02rc1.
To highlight some new features coming in 23.02:
- Added a new (optional) RPC rate limiting system in slurmctld.
- Added usage gathering for gpu/nvml (Nvidia) and gpu/rsmi (AMD)
plugins.
- Added a new jobc
Hoping someone can tell me if I’m just thinking about this wrong, or if maybe
this is somewhere with room for improvement.
I recently upgraded my cluster to 22.05.8 and am testing out gpu sharding on a
subset of GPUs, specifically my T4’s.
> -
Diego,
Not to start a debate, I guess it is in how you look at it.
From Intel's descriptions:
How does Hyper-Threading work? When Intel® Hyper-Threading Technology is
active, the CPU exposes two execution contexts per physical core. This
means that one physical core now works like two “logica
