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#51 | |
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As for connecting them all the to the same monitor, I'm sure the rack has a KVM, which allows multiple machines to be connected to the same Keyboard, Monitor, and Mouse. Although, once set-up the machines should be able to be run headless, with remote access via LogMeIn or Remote Desktop.
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#52 |
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ahh now I understand...
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#53 |
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Please go to the guy's site and read his story before you call it a waste.
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#54 |
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There's better ways to hunt down a cure to Huntington's Disease than protein folding simulations through Stanford University. $30,000 towards the development of nanomachines, for example, would be far more beneficial and practical use of the money.
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#55 |
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Actually, $30,000 would likely not provide any useful funding towards real research. Most of these programs have yearly budgets in the millions, $30,000 would hardly make a difference. For relatively small amounts of money like $30,000, a Folding farm is actually a pretty good way to put it to use.
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#56 |
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Almost all research, aside from pharmaceuticals, is funded by grants and public donations. $30k is enough to hirer a research for 1/3 to 1/4 of a year. 90 to 120 days which amounts to about 720 to 960 hours of labor is actually rather significant. That's 720 hours closer to a permanent solution, assuming the researcher hired is a good one. And hey, you'd be indirectly employing someone for a long period of time.
Even if it is spent on hardware, most research servers are around $100k to $150k. $30k would put a significant dent in that allowing them to run algorithms on site. Just remember that most (>99%) research computing is still performed on supercomputers. Never underestimate the usefulness of owning resources you are dependant upon.
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#57 |
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To answer some of the questions I've seen:
I'm using AMD Phenom Quad-Core 9550 processors in MSI K9A2 Platinum motherboards. OS is XP Pro and RAM is 2GB per machine. There are 5 machines like that currently for 20 cards. The head or "server" of the rack that houses the data has one card. I have two cards in my home computer. 23 GTX295 total. All of the machines run Quad-Core SMP also. As a matter of fact you can view the rack's FahMon here. The machines run fine on 2GB, the most I've ever seen one using is 1.35GB. Jason |
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#58 |
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a dead GPU??
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#59 |
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It's actually processing the entire internet to find the best nudie pics.
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#60 |
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perverts wish that their pc could do that...
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#61 |
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Hey Jason,
I appreciate the Ayn Rand references. :-) |
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#62 |
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Sure, GPUs die. Folding@Home is a pretty demanding application and I'm running them 24/7.
I went and checked the total current draw from the rack at the moment through my APC metered PDU (networked power strip). 46.4 Amps continuous across the whole machine. 46.6 * 120V = 5,592W ..and who is the Ann Rand person? ![]() Jason |
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#63 | |
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