Follow along with the video below to see how to install our site as a web app on your home screen.
Note: This feature may not be available in some browsers.
AFAIK there was no nvidia announcement of Maxwell having an ARM core. It was only a rumor.
And project denver lives as TegraK1 dual denver cores 64bit.
It's not clear if they scrapped the idea altogether or have delayed it.
The second thing we announced was Project Denver. We’ve been working on a CPU internally for about three and half years or so. It takes about five years to build any full custom CPU. And Project Denver has a few hundred engineers working on it for this period of time and our strategy with Project Denver was to extend the reach of ARM beyond the mobile, the handheld computing space. To take the ARM processor, partner with them to develop a next-generation 64 bit processor to extend it so that all of computing can have the benefits of that instruction set architecture. It is backward-compatible with today’s ARM processors.
I've tried to find old roadmaps, and from what I've found and recall, nothing explicitly states that there would've been an ARM CPU and GPU pairing for a performance consumer desktop GPU product.
Otherwise it just could just be people "reinterpreting" (hearing what they want to hear) for the consumer GPU market or a lost in translation type situation.
Scott: Our Denver project is really aimed at putting out a high-performance ARMv8 processor. Our Denver 64-bit ARM core will be higher performance than anything you can buy from ARM Holdings. That core is going to show up in Tegra, but it won't show up in all of the Tegra processors. We will still have Tegra processors that use stock ARM cores as well, like we use Cortex-A9 cores today, but Denver will show up in the high end.
As an architecture licensee, the thing to remember is that you can tweak an ARM core to change its performance, but you can't change the architecture one lick. You have to conform to the ISA, and they are quite disciplined about that.
So we can now develop the "Maxwell" family of GPUs, and that will go into the Tesla line and into the "Parker" family of Tegra processors.
At a 10 nm process technology in
2017, the Echelon project’s initial perfor-
mance target is a peak double-precision
throughput of 16 Tflops, a memory band-
width of 1.6 terabytes/second, and a power
budget of less than 150 W.
In this time frame, GPUs will no longer
be an external accelerator to a CPU; instead,
CPUs and GPUs will be integrated on the
same die with a unified memory architecture.
This might be a misunderstanding here but I am specifically referring to Denver and Maxwell only, since this is being brought up (and has several times recently) with people wondering what happened to Denver or Maxwell. I'm not arguing or questioning an eventual CPU/GPU convergence.
Denver specifically? No, it was assumed since it kept getting delayed and was "ready" in the same time frame as Maxwell.
Maxwell, yes. Unified Memory means a Nvidia CPU which meant that they had to put ARM(ETA- or PowerPC) cores somewhere, whether in the same ASIC, on the same package/substrate or some other solution.
There is a reason Maxwell got pushed back 1.5years and we aren't seeing GM10x, other than GM107.
Denver specifically? No, it was assumed since it kept getting delayed and was "ready" in the same time frame as Maxwell.
Maxwell, yes. Unified Memory means a Nvidia CPU which meant that they had to put ARM(ETA- or PowerPC) cores somewhere, whether in the same ASIC, on the same package/substrate or some other solution.
There is a reason Maxwell got pushed back 1.5years and we aren't seeing GM10x, other than GM107.
Starting with CUDA 6, Unified Memory simplifies memory management by giving you a single pointer to your data, and automatically migrating pages on access to the processor that needs them. On Pascal GPUs, Unified Memory and NVLink will provide the ultimate combination of simplicity and performance. The full-bandwidth access to the CPU’s memory system enabled by NVLink means that NVIDIA’s GPU can access data in the CPU’s memory at the same rate as the CPU can. With the GPU’s superior streaming ability, the GPU will sometimes be able to stream data out of the CPU’s memory system even faster than the CPU.
So in turn there does not seem to be an indication of ARM integration with Pascal either. If anything something like ARM core integration seems like it would be a rather important feature point that would be mentioned separately.