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$30M Stampede 2 Supercomputer To Provide 18 Petaflops of Power To Researchers Nationwide ( 44

An anonymous reader writes: Funded by grants from the National Science Foundation and built at the University of Texas at Austin, the Stampede 2 supercomputer looks to contend with the global supercomputer Top 5. With 18 petaflops of processing power, it aims to help any researcher with a problem requiring intense number crunching. For example, atomic and atmospheric science simulations would take years to work-out on a desktop PC but only days on a supercomputer. Texas Advanced Computing Center director Dan Stanzione said in a UT press release, "Stampede has been used for everything from determining earthquake risks to help set building codes for homes and commercial buildings, to computing the largest mathematical proof ever constructed." The Stampede 2 is about twice as powerful as the original Stampede, which was activated in March of 2013. Instead of the 22nm fabrication tech in the original Stampede, the Stampede 2 will feature 14nm Xeon Phi chips codenamed "Knights Landing" forming 72 cores compared the original system's 61 cores. With double the RAM, storage and data bandwidth, the Stampede 2 can shift up to 100 gigabits per second, and its DDR4 RAM can perform fast enough to work as a third-level cache as well as fulfill ordinary memory roles. In addition, it will feature 3D Xpoint non-volatile memory. It will be at least a year before the Stampede 2 is powered up since it just received funding.
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$30M Stampede 2 Supercomputer To Provide 18 Petaflops of Power To Researchers Nationwide

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  • "It will be at least a year before the Stampede 2 is powered up since it just received funding" That's some real hard news there Slashdot. Thanks.
  • ...a Beowulf cluster of....

    (Dodges rotten fruit)

    • If half of the AI hype was true the Beowulf cluster would imagine YOU!!!

  • Moore's law dead? (Score:4, Insightful)

    by Enigma2175 ( 179646 ) on Tuesday June 07, 2016 @12:51AM (#52264821) Homepage Journal

    So this new computer is twice as powerful as the original Stampede, which cost $27 million and came online in 2013. It sounds like Stampede 2 will come online in 2018 at a cost of $30 million. So over 5 years the power only doubled for the same cost - if computing power per cost unit doubles every 18 months like Moore predicted, why isn't Stampede 2 like 16 times more powerful than its predecessor?

    • That is a fair comment. The multiplication factor is somewhat low for the amount of time elapsed. However, Stampede-1 had a peak performance that was somewhat hard to reach for any application than the Linpack benchmark. That is because of the Knight's Corner processor. The new Knight's Landing in Stampede-2 is considerably easier to use, making a larger fraction of peak effectively usable.
    • Transistor count != FLOPS
  • I realize that DDR4 is pretty fast; and given how relatively cheap it is it is certainly good for what you pay; but is it honestly anywhere close to being comparable to L3 cache? I would think that, even if you spared absolutely no expense and went with the fastest RAM money could buy, signal propagation delays would, at contemporary clock speeds, make system RAM tens of cycles slower to access than anything on die.
  • How much computing power is wasted/used up by crappily designed programs that anticipate having lots of RAM access?
    • by Arkh89 ( 2870391 )

      You have no idea how bad scientific code is : bad memory accesses, poor algorithms designs, dumb data structures, no consideration of possible bottlenecks, no cluster architecture knowledge...
      And wait until you see people allocating either way too much or far less resources than required for their jobs in these clusters...

  • Only 100 gigabits can be moved per second? You can't move one bit per clock cycle or even every four?

    • That's likely the inter-node cluster network, the data transfer speed between each node in the cluster. This is not a single computer, it is a cluster of high-end computers, you know.

The last thing one knows in constructing a work is what to put first. -- Blaise Pascal