PC is dead - long live the PC: Personal Cloud.PCPer interprets this statement to say that mainstream Maxwells will almost certainly have GK110's virtualization features.
PC is dead - long live the PC: Personal Cloud.PCPer interprets this statement to say that mainstream Maxwells will almost certainly have GK110's virtualization features.
GRID boards feature NVIDIA Kepler-based GPUs that, for the first time, allow hardware virtualization of the GPU. This means multiple users can share a single GPU, improving user density while providing true PC performance and compatibility.
I notice now that they have what appears to be several of the same structures (and others from the supposed Tegra 4 shot) pasted into the supposed shot of their i500 soft-modem as well.The GPU part looks nothing like a real chip, there's no way it's for real unfortunately...
I notice now that they have what appears to be several of the same structures (and others from the supposed Tegra 4 shot) pasted into the supposed shot of their i500 soft-modem as well.
Yea, I missed the center piece there. Looks like NV is not yet ready to reveal the secrets of their soft-modem "accelerator".And the A15-representation from that shot seems to be in the "i500" too.
That explains why the "+1" core, at least the yellow part, look identical to the "4" ones. That seemed weird to me. The fifth core supposedly has a different internal organization, it should look different on a real die shot.
The fifth/companion core is also a Cortex A15, but synthesized to run at lower frequencies/voltages/power. This isn't the same G in and island of LP process that was Tegra 2/3. NEW: the 5th core will run at between 700 and 800MHz depending on SKU.
http://www.anandtech.com/show/6550/...00-5th-core-is-a15-28nm-hpm-ue-category-3-lte
I don't know why people are looking so deeply into this. It's not even an actual photo of silicon.The 5th core will still look different if analyzed at a low level, but memory structures might be placed the same as with the other cores which would make it look similar with these high level die shots.
I thought that was the point. Everything being identical shows it was doctored.I don't know why people are looking so deeply into this. It's not even an actual photo of silicon.
Even their Tegra 2 "die shot" was doctored to hell.
I seriously can't understand nV's "+1" core anymore, sure it made sense for last Tegra, but now ARM designed A7 or something as the companion core for A15's as in big.LITTLE designs, yet still nV has A15 +1
The 5th core will still look different if analyzed at a low level, but memory structures might be placed the same as with the other cores which would make it look similar with these high level die shots.
No the 5th core is exactly like the other four it is just optimized with low leakage transistors and for lower clocks.
I seriously can't understand nV's "+1" core anymore, sure it made sense for last Tegra, but now ARM designed A7 or something as the companion core for A15's as in big.LITTLE designs, yet still nV has A15 +1
There are many ways to implement the same function. For example, you can take the same design and synthesize it multiple times with different results. The same work would be done between pipe stages, but the way the gates are structured to accomplish the task will vary. This is due to an element of randomness in synthesis tools.Alright. That should be comprehensible if by the way it's all the same core so same pipelines, units etc.
I have trouble imagining what the low level optimization looks like.
I seriously can't understand nV's "+1" core anymore, sure it made sense for last Tegra, but now ARM designed A7 or something as the companion core for A15's as in big.LITTLE designs, yet still nV has A15 +1
Little BIG, is completely different, its' a 2x quadcore... one is 4xARM A9 ( A7v) + 4x ARM A15... Its not ARM who have design this, but Samsung.. Its a switch method, use low power cores for work on low power usage, and when you have the need of big power, it switch. ( im not sure how it will work on the benchmark generally used for tablet and smartphones anyway, because reviewers will need to know when it switch or not, or they will never been close of the reality in term of autonomy .
It will be interessant to compare both in term of Power consumption and power save, when both will be available on consumers products anyway.