On a node-per node basis, yes, but as a whole certainly not. Supercomputers usually use slower clocks an rely on parallelism at scale to provide throughput.
Just for fun, did you ever try to game on these workstations Professor ? (It's great cluster tho, would be interested to learn about the performance parameters in detail.)
Nice video professor! I have one question. Do you think your cluster is more power efficient than, say, a rack mounted cluster like those in data centers, having the same computational performance as yours? Also, setting aside the power consumption, what about the price-to-performance relation, compared to a classical rack mounted data center cluster?
Ive been wanting to build a cluster of dual epyc 7742s to learn on and try to play around with data bots on the web to predict trends. Ive got 42 gpus i could throw into the leoop as well if i build my own cases
Excellent! The reason for only using CPUs is due to the advantage in accessing a greater amount of memory compared to a GPU? Or is there another reason? Best of luck with the simulations!
Genial. Disculpe Profesor, la Paralelización que se usa es nivel de ejecutar por ejemplo un modelo por cada nucleo, y asi poder correr varios modelos a la vez?. O por el contrario, a un solo modelo, descomponerlo y poder ejecutarlo de manera mas rapida?
Hola! Gracias por la pregunta! Ambas. En algunos casos queremos simular modelos "pequeños" miles de veces, por ejemplo para un estudio parametrico. Otras veces, simular modelos grandes que no caben en un solo computador.
Amazing that this cluster probably has more performance than massive multi million dollar supercomputers from just a Decade ago
On a node-per node basis, yes, but as a whole certainly not. Supercomputers usually use slower clocks an rely on parallelism at scale to provide throughput.
this is so cool! the setup is crazyyy
I would love to see a detailed configuration vdo.
I’m want to build a cluster that can keep adding new node as my work load grows.
Just for fun, did you ever try to game on these workstations Professor ? (It's great cluster tho, would be interested to learn about the performance parameters in detail.)
Nice video professor! I have one question. Do you think your cluster is more power efficient than, say, a rack mounted cluster like those in data centers, having the same computational performance as yours? Also, setting aside the power consumption, what about the price-to-performance relation, compared to a classical rack mounted data center cluster?
Have u thought about using ubuntu server? Or u actually need a nice ui in the compute nodes?
Also what are the gpus model?
Yeah I thought. I don't need UI on the compute nodes. Honestly I just wanted to get it done. I'll learn to do a network install for the next cluster.
nice, but does it run doom?
😅 i'll make a video running doom on it
Ive been wanting to build a cluster of dual epyc 7742s to learn on and try to play around with data bots on the web to predict trends. Ive got 42 gpus i could throw into the leoop as well if i build my own cases
Excellent! The reason for only using CPUs is due to the advantage in accessing a greater amount of memory compared to a GPU? Or is there another reason? Best of luck with the simulations!
It's mostly because opensees doesn't run on GPUs, too much branching on complex nonlinear finite-element simulations.
Genial. Disculpe Profesor, la Paralelización que se usa es nivel de ejecutar por ejemplo un modelo por cada nucleo, y asi poder correr varios modelos a la vez?. O por el contrario, a un solo modelo, descomponerlo y poder ejecutarlo de manera mas rapida?
Hola! Gracias por la pregunta!
Ambas. En algunos casos queremos simular modelos "pequeños" miles de veces, por ejemplo para un estudio parametrico. Otras veces, simular modelos grandes que no caben en un solo computador.
Are these 2.5Gbps cables enough? I'm looking for building my own HPC but i'm concerned about bottlenecks
by the looks of I would assume you were a COMPUTER engineer, not a civil one 😂
I'm a huge all-around NERD!