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Intel Delivers New Architecture for Discovery with Intel Xeon Phi Coprocessors

Discussion in 'News' started by Cristian_25H, Nov 12, 2012.

  1. Xzibit

    Xzibit

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    Nvidia GK110 Whitepaper

    now STFU :p

    I bet you cling to the vagueness of it all. :)
  2. Steevo

    Steevo

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    Just used the provided link in the other article. No need to be caustic.


    Interesting to do the math on cores/score for some of the systems.
    10 Million points folded for TPU
  3. HumanSmoke

    HumanSmoke

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    Sometimes it gets hard to tell motivation when trolls like Xzibit and Co. are doing their thing. Case in point is the post directly above yours. A whitepaper put out shortly after GK110 taped out, and the phrase "greater than" equating to "equal" in the trolls book constitute its argument- the same troll who discounts one vendors figures while relying upon a competitors PR blurb, and seemingly bolstered by Intel PR via your post. What's a guy to think?
    If it comes down to core efficiency then its a no contest- Power7 pretty much wins all. Every GPGPU computer in existence relies on x86 CPU's, and x86 CPU's pretty much suck in relation to GPU's for double precision workloads. Since IBM don't use GPU, it would seem logical that pairing the most efficient GPU (K20X) with the most efficient double precision capable x86 (Xeon E5) would yield the most efficient big iron.

    @Xzibit
    Maybe you try reading from your own quote
    Last time I checked with my common sense, "Greater than 80%" is larger than the 80% you claimed in your post. Date of that whitepaper...15th May 2012
  4. Xzibit

    Xzibit

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    Go complain to Nvidia about.

    If you have a link to solid numbers provide them or follow your own advice

    :laugh:
  5. Cortex

    Cortex New Member

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  6. Steevo

    Steevo

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    ATI/AMD has always done a poor job of following through with the software to backup their hardware. Are we surprised? Nope.


    VLIW & GCN I am guessing are going to be remarried at some point in the future, as VLIW can do more heavy lifting, but requires more overhead, but can be programmed to do more than GCN, but GCN is easier to program for and execute on.
    10 Million points folded for TPU
  7. HumanSmoke

    HumanSmoke

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    The SC lists are out

    Top500

    and

    Green500
    1. Beacon (Intel Xeon + Xeon Phi.....#253 overall)
    2. SANAM (Intel Xeon + AMD S10000...#52 overall)
    3. Titan (AMD Opteron + Nvidia K20X...#1 overall)
    4. Todi (AMD Opteron + Nvidia K20....#91 overall)
    5 thru 29 IBM BlueGene/Q systems

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