Speculation: GPU Performance Comparisons of 2020 *Spawn*

Discussion in 'Architecture and Products' started by eastmen, Jul 20, 2020.

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  1. trinibwoy

    trinibwoy Meh
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    Sorry, are you saying that "scalar" in AMD parlance means INT? Because you can certainly have SIMD INT instructions.

    From the whitepaper:

    "The scalar ALU accesses the scalar register file and performs basic 64-bit arithmetic operations. The scalar ALU is used for a variety of control purposes, such as calculating values that will be broadcast across an entire wavefront, managing predicates for the wavefront, and computing branch targets. In addition, the scalar ALU is used for address calculation when reading or writing data in the scalar data cache."

    That matches my understanding that the scalar unit was meant for truly scalar operations, not for processing INT SIMD instructions.
     
  2. Bondrewd

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    It did, but it breaks at 4k and nothing helps it there, for some reason.
    That's what int pipe mostly does in Turing.
     
  3. trinibwoy

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    Nope. Both you and Jawed confused me for a sec but it looks like I'm not crazy :)

    "The lanes have also been rearchitected for efficiently executing a wide variety of data types as illustrated in Figure 9. The execution units perform single-precision FMA, add, multiply, or other general FP operations at full rate as well as 24-bit/32-bit integer multiply-accumulates."

    AMD's SIMDs run either FP32 or INT32. Which means that the 5700xt has to run both on the same hardware while Nvidia has a dedicated INT pipeline. So my earlier point stands. The 5700xt is keeping up without the benefit of the dedicated INT pipe.
     
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  4. JoeJ

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    Yeah, GCN scalar is used for integer data that is constant over the whole wave, e.g. execution mask or memory addresses. It's nice and can save on per thread registers, but regular integer math is done on the same SIMDs as floating point math. Scalar and SIMD execution can be concurrently, but that's all it has in common with Voltas concurrent and separated int / float ALUs.

    Somebody here said Ampere no longer uses this separation, but not sure if that's true. I though it only changed the ratio, so instead having 1 float : 1 int units, they now have 2 float : 1 int units. So even more units than Volta. Correct me if i'm wrong.

    It might well be AMD won't adopt this idea if it does not suit their architecture. Probably we can not say 'AMD lacks a feature' just because of this, and we would need some benchmarks (which we really lack).
     
  5. trinibwoy

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    Source? Why types of INT instructions is AMD running on the SIMDs?
     
  6. trinibwoy

    trinibwoy Meh
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    That's right.
     
  7. w0lfram

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    No, they demoes Microsoft's solution, and thanked NVidia for the modeling and use of their hardware for their demonstration.

    Right?
     
  8. Jawed

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    I'm sorry, I was wrong to call AMD's scalar ALU the equivalent of NVidia's INT SIMD. You're right, AMD runs per-work-item INT on the same ALUs as floating point.
     
  9. Leoneazzurro5

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    Are you suggesting that shader core itself is "more capable" (Flops or CU IPC) in desktop RDNA2 respect to RDNA1 then? Because even under 4K it is on average slightly under the 2070 Super and yes it completely breaks at higher resolutions. But for competing with the 3000 series it needs quite probably a better shading output, also thinking that part of the RT calculations are done in the shaders.
     
  10. trinibwoy

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    No worries, all clear now!
     
  11. chris1515

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    This is the only example of RDNA2 GPU but I was surprised to see so many native 4k 30 or 60 fps on PS5 maybe something improve on RDNA 2 side. Deathloop a third party title is announced native 4k 60 fps for example. We just need to wait RDNA 2 AMD GPU with much more power and memory bandwidth than a PS5.
     
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  12. Bondrewd

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    Nah.
    Yes, there was something odd with it.
    It's a console so not directly applicable.
     
  13. Leoneazzurro5

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    Then , as said, if there is a big improvement in Perf/W (on the same process ) it may be due to better power management but also to bottleneck resolution...
     
  14. yuri

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    Actually, the highend market is fucking huge. JPR estimates the highend segment makes 47% of the 2020 TAM. So no more sad stories such as Polaris.
     
  15. Bondrewd

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    Not $1500 paperweights, no.
    The classic high-end lives at $450-700.
    ?
     
  16. Benetanegia

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    I understood what he said perfectly. It is just false. The links I posted show it clearly. Better go gaslight someone else.

    And no one said they did it out the kindness of their hearts. They sold like hotcakes and that was their intent.
     
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  17. Leoneazzurro5

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    In fact, 8800 GT was not hurried, this is why the first batch of cards on the market caused a major turmoil because of overheating and badly designed cooling system. And I know something about it, I owned one (luckily I was able to get RMA with an updated model). Lol.
     
  18. sonen

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    Super high-end segment with the average price of 1236 euros per piece brought 14% of the entire Nvidia revenue from Mindfactory in Q1 2020. Which is almost the end of the life-cycle, so not hard to imagine contributing even more on average and especially during the initial WOW phase.
    That's more revenue than Mainstream 100-250€ and easily even more profit. All this offset by higher purchasing power of Germans.

    https://www.3dcenter.org/artikel/mindfactory-grafikkarten-retail-verkaufsreport-q12020

    Maybe he means... letting Nvidia to roam freely by ceding X% of the market right of the bat because "Is All About Giving Gamers A Sweet Performance Per Dollar" as Raja said.
     
  19. Bondrewd

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    200-500 still rules everything with iron but fair fist.
    $300-350 sweet spot needs to be a fight once more.
    They're ceding it either way; kids just don't like AMD.
    Didn't Jensen adress Pascal owners basically the same way during the recent keynote
     
  20. sonen

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    Maybe he did.
    I am sure he didn't say he won't do business with you if you have more than $250
     
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