GP104: The Heart of GTX 1080

At the heart of the GTX 1080 is the first of the consumer-focused Pascal GPUs, GP104. Though no two GPU generations are ever quite alike, GP104 follows a number of design cues established with the past couple 104 GPUs. Overall 104 GPUs have struck a balance between size and performance, allowing NVIDIA to get a suitably high yielding GPU out at the start of a generation, and to be followed up with larger GPUs later on as yields improve. With the exception of the GTX 780, 104 GPUs been the backbone of NVIDIA’s GTX 70 and 80 parts, and that is once again the case for the Pascal generation.

In terms of die size, GP104 comes in at 314mm2. This is right in NVIDIA’s traditional sweet spot for these designs, slotting in between the 294mm2 GK104 and the 332mm2 GF104. In terms of total transistors we’re looking at 7.2B transistors, up from 3.5B on GK104 and the 5.2B of the more unusual GM204. The significant increase in density comes from the use of TSMC’s 16nm FinFET process, which compared to 28nm combines a full node shrink, something that has been harder and harder to come by as the years have progressed.

Though the density improvement offered by TSMC’s 16nm process is of great importance to GP104’s overall performance, for once density takes a back seat to the properties of the process itself. I am of course speaking about the FinFET transistors, which are the headlining feature of TSMC’s process.

We’ve covered FinFET technology in depth before, so I won’t completely rehash it here. But in brief, FinFETs are an important development for chip fabrication as processes have gone below 28nm. As traditional, planar transistors have shrunk in feature size – and ultimately, the number of atoms they’re comprised of – electrical leakage has increased. With fewer atoms in a transistor, there are equally fewer atoms to control the flow of electrons.

FinFET in turn is a solution to this problem, essentially allowing fabs to turn back the clock on electrical leakage. By building transistors as three-dimensional objects with height as opposed to two-dimensional objects, giving FinFET transistors their characteristic fins in the process, FinFET technology greatly reduces the amount of energy a transistor leaks. In practice what this means is that FinFET technology not only reduces the total amount of energy wasted from leakage, but it also allows transistors to be operated at a much lower voltage, something we’ll see in depth with our analysis of GTX 1080.

FinFETs, or rather the lack thereof, are a big part of why we never saw GPUs built on TSMC’s 20nm process. It was TSMC’s initial belief that they could contain leakage well enough using traditional High-K Metal Gate (HKMG) technology on 20nm, a bet they ultimately lost. At 20nm, planar transistors were just too leaky to use for many applications, which is why ultimately we only saw SoCs on 20nm (and even then they were suboptimal). FinFETs, as it turns out, are absolutely necessary to get good performance out of transistors built on processes below 28nm.

And while it took TSMC some time to get there, now that they have the capability NVIDIA can reap the benefits. Not only can NVIDIA finally build a relatively massive chip like a GPU on a sub-28nm process, but thanks to the various beneficial properties of FinFETs, it allows them to take their designs in a different direction than what they could do on 28nm.

Pascal’s Architecture: What Follows Maxwell GP104’s Architecture
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  • Ninhalem - Wednesday, July 20, 2016 - link

    There's 32 freaking pages in this review. Maybe people have other jobs instead of writing all day long. Did you ever think of that?

    I'll take quality and a long publishing time over crap and rushing out the door.
  • Stuka87 - Wednesday, July 20, 2016 - link

    Thanks for the extremely in depth review Ryan!
  • cknobman - Wednesday, July 20, 2016 - link

    I cannot help feel just a bit underwhelmed.

    Of course these Nvidia cards kick some major butt in games that have always favored Nvidia but I noticed that in games not specifically coded to take advantage of Nvidia and furthermore games with DX12 that these cards performance advantage is minimal at best vs an old Fury X with half the video RAM.

    Then when you take into account Vulcan API and newer DX12 games (which can be found elsewhere) you see that the prices for these cards is a tad ridiculous and the performance advantage starts to melt away.

    I am waiting for AMD to release their next "big gun" before I make a purchase decision.
    I'm rocking a 4k monitor right now and 60fps at that resolution is my target.
  • nathanddrews - Wednesday, July 20, 2016 - link

    1080 is close to being that 4K60 card, but can't quite cut it. I'm waiting for "Big Vega" vs 1080Ti before dropping any money.
  • lefty2 - Wednesday, July 20, 2016 - link

    Great review - one of the few that highlights the fact the Pascal async compute is only half as good as AMD's version. Async compute is a key feature for increasing performance in DX12 and Vulkan and that's going to allow the RX 480 to perform well against the GTX 1060
  • Daniel Egger - Wednesday, July 20, 2016 - link

    "... why the memory controller organization of GP104 is 8x32b instead of 4x64b like GM204"

    Sounds like it's the other way around.
  • Ryan Smith - Wednesday, July 20, 2016 - link

    No, that's correct. 8 32bit wide controllers rather than 4 64bit wide controllers.

    http://images.anandtech.com/doci/10325/GeForce_GTX...

    http://images.anandtech.com/doci/8526/GeForce_GTX_...
  • DominionSeraph - Wednesday, July 20, 2016 - link

    >It has taken about 2 years longer than we’d normally see

    ... for a review of a flagship card to come out
  • sgeocla - Wednesday, July 20, 2016 - link

    The old Maxwell was so optimized it was always full and didn't even need Async Compute. The new Pascal is so much more optimized that it even has time to create the "holes" in execution (not counting the ones in your pocket) that were "missing" in the old architecture to be able to benefit for Async Compute. Expect Volta to create even more holes (with hardware support) for Async Compute to fill.
  • tipoo - Wednesday, July 20, 2016 - link

    That's demonstrably untrue.

    http://www.futuremark.com/pressreleases/a-closer-l...

    Plenty of holes that could have been filled in Maxwell.

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