The power consumption is around 130W per machine, so it's pretty much right at 2kW total.
I have not run a generic benchmark, but it is about 15% faster per core for our simulations (~50 million unstructured hex cell incompressible isothermal RANS with Star-CCM+ and OpenFOAM) than the supercomputer that we purchased time on. The supercomputer has dual Xeon 5680 per node with QDR Infiniband. I think we are faster because of better memory bandwidth. The Xeon's are limited to 1333mhz RAM and we are running ours at 1600mhz. I think there are also some inefficiencies in the multiple socket NUMA architecture, as not all memory access will be local to a socket. I overclocked the chips from 3.4ghz to 4.0ghz and only saw about a 3% increase in solver speed. I think we would see some real gains from overclocking the RAM, but the stuff we bought is of too low quality to even boot beyond 1600mhz. I'll run HPL. |
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Well yeah, that is the exactly the situation I described as when IO throughput is important...
I would say that this situation does not represent the majority of users. It only applies to people that are 1) running transient simulations, 2) care about the flow-field history, and 3) Cannot post-process on the fly. Sure, those three things apply to a lot of users, but probably not most. Certainly not in industry. |
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