Xeon phi primecoin forum
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Remove Advertisements Sponsored Links. Log in or Sign up. Bulldozer already cut them in half, but they did not offload any of it to the GPU. Again, I am by no means an expert or anything. To do that with current APU technology means completely rewriting software, which most software developers are unwilling to do due to the amount of time and money it would take.
For that to really happen on a large scale, AMD has to, and is going to, make the CPU and iGPU appear as one entire entity, and it would automatically route the code along the correct pathways with little or no effort on the software side.
Tsumi , Jul 31, Jul 31, 3. Could it have something to do with the instruction set? I'd imagine that the GPU's are not compatible with the x87 subset of the x86 instructions used for FPU's, and would thus have to run some sort of abstraction layer, virtual machine or translator between the two in order to function properly.
It's probably not out of the question to equip GPU's with x87 instruction set compatibility, but it would be a brand new design, and probably a step backwards in efficiency from current GPU designs. Its an interesting concept though. I'd be curious to hear what people on here who know more about this type of thing than I do have to say about it.
Zarathustra[H] , Jul 31, Jul 31, 4. Very nice, so AMD already has this in the works. I thought so, it just makes more sense. I don't doubt that this may be a future strategy We need to get beneath this, necessitating the re-writing of software, or low level logic and quite possibly both. Arcygenical , Jul 31, Jul 31, 7. Darakian , Jul 31, Jul 31, I also wonder if this would be a problem for gaming.
That being said, even if you can't cut down on the number of transistors and thus the chip space used, power consumption and heat generation there are still benefits to be had from sharing the FPU function between the GPU and the CPU. If they are shared, even if combined the same size as before, when the GPU is not rendering, the CPU will have a lot more FPU processing capability than before and vice versa.
It would be more efficient that way, even if you wouldn't be able to take full advantage of it when both need the resource. Digital Viper-X- , Jul 31, There are two flaws with this plan.
The first is that the GPU is a very long way away from the CPU in computing terms; if I want to perform a floating point calculation, say add together a vector to see if a bullet has hit a character, I don't want to send that data all the way to the GPU then wait for the result to be sent back. In computing terms that might as well be a lifetime. Now in an APU where the CPU and GPU shared the same cache you might get past that problem, but you'd still be wasting time communicating between two cores just to perform a simple calculation.
And that gets into the second flaw, "GPU's are order's of magnitude better at floating point operations" is both correct and incorrect. If I want to perform a specific calculation like the bullet detection and then act on it then the CPU is faster. CPUs are very fast at general purposes calculations and that includes floating point math. GPUs for the moment are slower then CPUs by a big margin but they make up for it by executing the same instruction across many pieces of data - it takes twice as long before it is done, but produces 4 times the final output.
Some things work well for this, many others don't. Why would a program need to know how a multiplication between two FP values is done in hardware?
Would need to connect the gpu to the instruction and data bus, and have the instruction decoder use the same opcode to enable the gpu instead of an ALU. Women educators from the Phi Chapter of the Delta Kappa Gamma Society International presented checks for the three Wallenpaupack elementary school libraries at the.
Gaming and Bitcoin Mining hardware: Yes, you can However, just because you can do something, doesn't mean that you should do it! The Xeon Phi accelerator card from Intel takes an unusual approach: Mar 16, Good day folksD We know supercomputers are the fastest of fastest computer in the world.
Get a quote for a KNL xeon solutions, Asia is where to be phi be able to purchase cheaper Bitcoin at this time, although. I own primecoin Phi and the performance is actually really bad. Intel has been running a special developer promotion by offering the Xeon Phi. You don't have to tell me the region or instance since it is competitive but I'm wondering if you are just speaking theoretically. March 14, , I've found nothing yet.
I just see the specialized co processor as a dead end. The Xeon Phi was discussed here: The Xeon Phi is Linux-friendly and you Become a Redditor and subscribe to one of thousands of communities.
August 28, Timothy Prickett Morgan.