ARM v8-A with Scalable Vector Extensions: Aiming for HPC and Data Center

Re:ARM v8-A with Scalable Vector Extensions: Aiming for HPC ... by dogma1138 on Monday August 22, 2016 @11:12AM (#12336865)

I'm not dismissive of Intel, just currently the smaller scale HPC market is focused on GPU's. And in the GPU market as far as compute goes NVIDIA is the champion.

Intel is great but their current HPC/X86 offerings aren't that great. Xeon Phi and the Xeon SOC's might eventually come out swinging, but currently they aren't.

AMD on the GPU side is pretty stagnant it has almost no answer to the Tesla based servers, and on the software side NVIDIA's software stack which includes CUDA is simply better. On the CPU side we need to see where Zen leads, but even then AMD will have a competitor to the traditional Xeon platform rather than HPC.

ARM is probably more scalable especially since you can easily create semi-custom SOC's for HPC and put a lot of pretty powerful and considerably smaller cores in a server. Intel may get to that point with the Xeon products but it is not there yet.

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Re:ARM v8-A with Scalable Vector Extensions: Aiming for HPC ... by semi-extrinsic on Monday August 22, 2016 @12:44PM (#12337556)

I think you're only seeing a small part of the smaller scale HPC market, probably the deep learning or computational chemistry?

If you go ask people working on car aerodynamics or geophysics or reservoir modelling for the oil industry, they're mostly all CPU cluster users still.

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Re:ARM v8-A with Scalable Vector Extensions: Aiming for HPC ... by gnufx on Monday August 22, 2016 @05:50PM (#12339702)

It's not even right for computational chemistry, let alone all the other things you run on a typical university system, say. (I don't see why the size of the system is relevant, and obviously some GPU capacity may be sensible.)

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