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Supercomputing Cloud Hardware

ARM Not Just For Macs: Might Make Weather Forecasting Cheaper Too (nag.com) 41

An anonymous reader writes: The fact that Apple is moving away from Intel to ARM has been making a lot of headlines recently — but that's not the only new place where ARM CPUs have been making a splash.

ARM has also been turning heads in High Performance Computing (HPC), and an ARM-based system is now the world's most powerful supercomputer (Fugaku). AWS recently made their 2nd generation ARM Graviton chips available which allows everyone to test HPC workloads on ARM silicon. A company called The Numerical Algorithms Group recently published a small benchmark study that compared weather simulations on Intel, AMD and ARM instances on AWS and reported that although the ARM silicon is slowest, it is also the cheapest for this benchmark.

The benchmark test concludes the ARM processor provides "a very cost-efficient solution...and performance is competitive to other, more traditional HPC processors."
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ARM Not Just For Macs: Might Make Weather Forecasting Cheaper Too

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  • Depends why it's cheaper and what htey mean by cheaper. If it uses less silicon die area, and maybe uses less electricity .. that's one thing. But if it's "cheaper" because it is priced lower that could turn out meaningless .. a function of supply/demand. If you buy the other one in bulk whoever's selling it might be able to offer you a better deal.

    • Cheaper probably because those processors are produced in higher quantities by more foundries. Presumably the performance will catch up to and surpass intel once the needs of ARM CPUs are engineered to accomplish things other than mobile / low power computing. Apple certainly believes thatâ(TM)s the case and has made significant strides towards that end with its A* cpu line. The real challenge will be performance / watt. Arm holds that crown in mobile, but server side? I think you need too many CPUs fo
      • That's ironic. The economy of scale is one of the main reasons Intel defeated all those risc thingies.
        • by guruevi ( 827432 )

          Yes, in a time when mobile computing was still far, far in the distance. Now, the mobile world has shaped the processor world, Intel doesn't need to operate in that space because we still need high performance general purpose processors, but the world has adapted to be able to rent a fab for just 100k-1M units and then move on to another design.

          In raw power, ARM cannot compete with Intel on price. In customization, it can.

          • Fujitsu A64FX chips say otherwise.

            • by guruevi ( 827432 )

              As I said, it depends on your measure of performance. It's great for a specific subset of calculations (floating point), but with only 16 PCIe lanes you'll be hard pressed to make a working workstation/HPC configuration out of it where you need a set of GPU and 100Gb network.

    • Re:Cheap why? (Score:4, Informative)

      by Gravis Zero ( 934156 ) on Sunday August 30, 2020 @03:00PM (#60455894)

      Depends why it's cheaper and what [they] mean by cheaper.

      The article is comparing computational costs per hour for executing a Weather Research and Forecasting (WRF) Model on AWS of various architectures. The result they got was that ARM took longer but with the lower cost it still cost less.

      The question now becomes, "how does AWS come up with their pricing" because that's what this claim is based on.

    • Re:Cheap why? (Score:4, Insightful)

      by nateman1352 ( 971364 ) on Sunday August 30, 2020 @03:56PM (#60456078)

      The reason why it is cheaper is because Amazon controls the price of all three. And they are heavily discounting the price of Gravition instances right now because they want people to switch to Gravition. Don't be surprised if one day >50% of AWS workloads are running on Gravition the price will slowly creep up to almost the same amount as Xeon instances.

      Gravition is nothing more than a trap designed to make it harder to run your workloads on non-AWS clouds or on-premises, just like most of the AWS APIs. To be fair, Azure is also moving in this direction.

  • How about making weather forcasting more accurate?

    Its already free with ads

  • by 140Mandak262Jamuna ( 970587 ) on Sunday August 30, 2020 @03:43PM (#60456026) Journal
    Weather (and fluid motion) is most accurately modeled using Navier-Stokes equations. One special property of air and other compressible fluids is that the disturbances travel at the speed of sound. Thus there is a zone of influence around each point in space that expands at the speed of sound. The most critical consequences of it is the points outside the zone of influence is NOT affected by the central point.

    Conversely the state of points outside the zone of influence will not influence the central point. CFD, or computational fluid mechanics places a grid of points in space, and starting from some initial condition calculates the how this will evolve in future. So as long as the time step used in this calculation is made to be so small, each point in grid can influence its neighbor, but not neighbor's neighbor, the calculation involves very few points, and it can be done simultaneously for ALL the points in the grid. The time step restriction is called the CFL condition. And the ability to update/calculate the state of fluid in the entire grid simultaneously gives fantastic parallelization capability for the Navier-Stokes solvers. Update calculation is quite simple, just five equations (mass, momentum and energy conservation, momentum counts as three because its a vector), about 8 points, the code can fit into a tiny processor, the kind used to render pixels on the screen. Well organized data and the ability to parallelize.... thats why GPU based time domain solvers work very well for Weather and fluids.

    This is true only for some, not all, simulations. Time domain electromagnetics and some accoustics problems fall into this category. Other physics based simulations are not parallelizable as easily.

  • by Anonymous Coward
    That's rather pretentious, but I wouldn't expect anything less from the douche bag conformists that don't know the meaning of Think Different.

    Apple users of today are all made dumber by these self flagellating mindless cult-tards that can only see anything Apple does as the only way.

    I'm done with my rant, I'm going back to tinkering the tons of ARM devices I own, none of which are tainted by Apple's logo.
    • Re: (Score:3, Insightful)

      by Cmdln Daco ( 1183119 )

      ARM on Macintosh is a tech journalism thing. For a special type of tech journalist, no less: Mac enthusiast tech journalists.

      They are a special sort.

  • They have been trying to recover ever since.
  • Lower power saves money in massive scales. Intel was leading the way 5 years ago before AMD and Microsoft licensing forced businesses to buy faster more wattage with lesser cores.

    ARM now has Windows Server support and Linux had it for ages. Now if VMWare ESX can make an ARM port ...

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