Here we collect first user feedbacks with respect to albedos performance.
With/out Hyperthreading (SMT)
| Model | User | Pro SMT  | Contra SMT  |
|---|---|---|---|
| -- | admin | ~2500 kJ (∑ Esocket[0-7] according to lm_sensors), ~30% less | Nodes need more power (3500 kJ) and get warmer in idle state |
| FESOM | NEC | Using 128 Threads per node: 3% faster (probably because the (buggy) GXFS daemon can use a virtual core) | Using 256 Thread per node: 10% slower |
| Python AI | vhelm | no impact/difference | no impact/difference |
GPU nodes
- no difference in runtime between A40 and A100 ( tensorflow-gpu AI application)
- ???
Disk Access
- ...
Runtime compared with ollie
- ...