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ModelUserPro SMT (smile)Contra SMT (sad)
--idleadmin-~2500 kJ

(∑ Esocket[0-7] according to lm_sensors

), ~30% less

:
Nodes need 30% more power (3500 kJ) and get warmer in idle statecompared to without SMT (~2500 kJ)

stress-ng streamadmin--

~13% slower

FESOMNECUsing 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 AIvhelmno impact/differenceno impact/difference


GPU nodes (A40 vs. A100)

ModelUserA40 vs. A100
 tensorflow-gpu AI applicationvhelmno difference









Disk Access

Applicationusernode internal NVMe:
/tmp
100 Gb Infinniband GPFS:
/albedo
10 Gb Ethernet
/isibhv



















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Runtime compared with ollie

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