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posted by mrpg on Monday June 25 2018, @11:09PM   Printer-friendly
from the 6502 dept.

The U.S. leads the June 2018 TOP500 list with a 122.3 petaflops system:

The TOP500 celebrates its 25th anniversary with a major shakeup at the top of the list. For the first time since November 2012, the US claims the most powerful supercomputer in the world, leading a significant turnover in which four of the five top systems were either new or substantially upgraded.

Summit, an IBM-built supercomputer now running at the Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL), captured the number one spot with a performance of 122.3 petaflops on High Performance Linpack (HPL), the benchmark used to rank the TOP500 list. Summit has 4,356 nodes, each one equipped with two 22-core Power9 CPUs, and six NVIDIA Tesla V100 GPUs. The nodes are linked together with a Mellanox dual-rail EDR InfiniBand network.

[...] Sierra, a new system at the DOE's Lawrence Livermore National Laboratory took the number three spot, delivering 71.6 petaflops on HPL. Built by IBM, Sierra's architecture is quite similar to that of Summit, with each of its 4,320 nodes powered by two Power9 CPUs plus four NVIDIA Tesla V100 GPUs and using the same Mellanox EDR InfiniBand as the system interconnect.

The #100 system has an Rmax of 1.703 petaflops, up from 1.283 petaflops in November. The #500 system has an Rmax of 715.6 teraflops, up from 548.7 teraflops in June.

273 systems have a performance of at least 1 petaflops, up from 181 systems. The combined performance of the top 500 systems is 1.22 exaflops, up from 845 petaflops.

On the Green500 list, Shoubu system B's efficiency has been adjusted to 18.404 gigaflops per Watt from 17.009 GFLOPS/W. The Summit supercomputer, #1 on TOP500, debuts at #5 on the Green500 with 13.889 GFLOPS/W. Japan's AI Bridging Cloud Infrastructure (ABCI) supercomputer, #5 on TOP500 (19.88 petaflops Rmax), is #8 on the Green500 with 12.054 GFLOPS/W.

Previously: TOP500 List #50 and Green500 List #21: November 2017


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  • (Score: 2) by takyon on Tuesday June 26 2018, @12:00AM (4 children)

    by takyon (881) <reversethis-{gro ... s} {ta} {noykat}> on Tuesday June 26 2018, @12:00AM (#698459) Journal

    I was under the impression that Xeons and Power9s just managed the GPUs and/or manycore chips.

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  • (Score: 0) by Anonymous Coward on Tuesday June 26 2018, @12:13AM (2 children)

    by Anonymous Coward on Tuesday June 26 2018, @12:13AM (#698466)

    do you really need 44 cores running at 4Ghz to manage 6 V100 ?

    • (Score: 3, Funny) by bob_super on Tuesday June 26 2018, @12:17AM (1 child)

      by bob_super (1357) on Tuesday June 26 2018, @12:17AM (#698468)

      Let me tell you about that wonderful Javascript/Ruby Framework I just found for your application ...

      • (Score: 2) by c0lo on Tuesday June 26 2018, @12:34AM

        by c0lo (156) Subscriber Badge on Tuesday June 26 2018, @12:34AM (#698475) Journal

        Sooo outdated, pops!

        We now have [wikipedia.org]:. Dart, Go, Python, Rust, Shell, TypeScript

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  • (Score: 2) by opinionated_science on Wednesday June 27 2018, @11:36AM

    by opinionated_science (4031) on Wednesday June 27 2018, @11:36AM (#699238)

    well that was certainly the case for Titan (I know the guys who LINPACK'd it).

    I was curious because a bit of arithmetic gives each GPU at 4.679TFlop/s (28TF/node).

    Nvidia's marketing blurb gives the V100 at 7.8TF. So this is approximately %60 efficiency.

    Since many applications still use the CPU for a lot of work, until I get to play with it, I was wondering what the Power9 pulls on it's own.

    I managed to get the Xeon phi's to give 990Gflops (almost 1T), though you could use it to heat an apt!!!