Re: [AMBER] what hardware is required for gou peer-ro-peer an how imporant is gpu-to-gpu nvlink

From: Chris Neale <candrewn.gmail.com>
Date: Tue, 28 Mar 2017 23:07:13 -0600

awesome info! Thank you again for taking time to help me Jason.

On Tue, Mar 28, 2017 at 10:19 PM, Jason Swails <jason.swails.gmail.com>
wrote:

> On Tue, Mar 28, 2017 at 10:27 PM, Chris Neale <candrewn.gmail.com> wrote:
>
> > Dear Jason:
> >
> > thank you for this awesome information! I did take a look at that
> benchmark
> > page first, but it doesn't contain the word "nvlink" at all.... is there
> a
> >
>
> ​The very first plot has a bar titled "2X Quadro GP100 PCIE+NVLINK" which
> runs at 832.28 ns/day with a 4 fs timestep and hydrogen mass partitioning.
> The bar right below that is titled "2X Quadro GP100 PCIE" which runs at
> 747.09 ns/day with the same settings. Note that "nvlink" is in the image,
> so it won't be found by a simple text search.
>
> That gives you a ballpark ~12-14% speedup that you get from NVLink.
> ​
>
> > synonym for nvlink or something? Sorry if this is obvious, but I've had
> > very little experience with nvlink, only on a dgx which has faster GPUs
> > than any other nodes I have access to so I am not sure if its the GPUs or
> > the nvlink or something else (besides shared PCIe bus, which you
> explained
> > very nicely) in the dgx that is helping the scaling.
> >
>
> ​NVLink is something different (more?), and came after I stopped paying as
> close attention to the new developments in GPU land as I once did. It's
> not P2P (since it can also operate between GPUs and CPUs). The bandwidth
> is very high (80 Gbps IIRC), but I didn't see any reports about its latency
> (although to get a 12% speedup over P2P suggests it can't be that bad).
>
> At the end of the day, even with NVLINK and only 2 GPUs, the parallel
> efficiency is still a tad underwhelming (although it will be better for GB
> which utilizes a crappier-scaling algorithm that nonetheless is more easily
> parallelized). 2 GPUs runs at only 134% the speed of 1 GPU (for the very
> high-end GPUs, where the scaling is expected to be the worst).
>
> All the best,
> Jason
>
> --
> Jason M. Swails
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Received on Tue Mar 28 2017 - 22:30:03 PDT
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