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#23 | |
"/X\(‘-‘)/X\"
Jan 2013
23×32×41 Posts |
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When I bought my 4 node i5-6600 cluster in June 2016, I paid $40 per motherboard, $290 per CPU, 120 per 32 GB DDR4 (2 x 16 GB dual rank), shared one $95 power supply, and $75 in power supply cables. It totalled to about CA$2100 after tax (about US$1600 at the time). I got 16 cores and 8 channels of memory. The whole cluster consumed about 270 watts once I disabled boost. On a 4096k FFT, I got 0.466 iter/sec/USD. You may be able to build an 8 channel 16 core single system for about that in today's prices. An Epyc 7313P costs about US$900. The cheapest memory I could find is $216 fo 8 * 8 GB. An AsRock Rack EPYCD8 ATX motherboard costs $470. A suitable power supply is probably close to $100 (I'd buy at least a Gold, as the power savings are worth it over time). Mind you, that's without the taxes I paid. |
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#24 |
Jun 2003
5×29×37 Posts |
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#25 | |
"J. W."
Aug 2021
1000112 Posts |
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Would make for an interesting comparison versus the upcoming 5800X3D with that huge single-chiplet 96MB L3, though. As for SFF PC used for number crunching, I could report that a quad-core i7-1165G7 in a NUC maxed out quite a bit slower than an octa-core 5800H in a gaming laptop with the exact same RAM bandwidth, and made quite the ruckus at full power. I'm not sure how long it - fan, VRM, processor silicon, and such - would have lasted at 90+ degC even with cooling at maximum, either. RAM is probably not nearly the only factor, and I could probably have built something not much larger with a faster CPU and a mini-ITX motherboard for less than that NUC, except for the insane price of any useful graphic card these days. |
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#26 | |
"/X\(‘-‘)/X\"
Jan 2013
23×32×41 Posts |
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As far as I know, with multiple CCX, L3 victims aren't written between CCX, so unless data happens to be in the other L3 cache (from other worker threads), the read must come from memory. So the 64 MB of L3 doesn't really act as a single 64 MB cache. |
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