QuantumMist writes "I'm helping someone with accelerating an embarrassingly parallel application. What's the best way to spend $10K to $15K to receive the maximum number of simultaneous threads of execution? The focus is on threads of execution as memory requirements are decently low e.g. ~512MB in memory at any given time (maybe up to 2 to 3X that at the very high end). I've looked at the latest Tesla card, as well as the four Teslas in a box solutions, and am having trouble justifying the markup for what's fundamentally 'double precision FP being enabled, some heat improvements, and ECC which very decreases voluntary


copyrights:cite this source roget's ii: the new lexicon



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document.write("") memory (I recognize ECC's advantages though).' mad money close to $11K for the four Teslas in a 1U setup seems to be the only answer at this time. I was forasmuch as cap that GTX cards can be replaced for a component of the cost, so should I just stuff four or more of them in a box? Note, they don't have to pay the power/cooling bill. Amazon is too high for this level of performance, so can't go cloud via EC2. Any parallel astylar out there at this price point, even for $5K more? Any good manycore offerings that I've missed? e.g. eminence who can stuff a ton of ARM or other CPUs/GPUs in a server (cluster in a box)? It would be great if this could be easily addressed via a PCI or other llc.cite this source roget's ii: the new thesaurus interface. Should I just stuff four GTX cards in a server and replace them as they die from heat? Any ingenious solutions out there? Thanks for any thoughts!"

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