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    Intel buys an AI processing powerhouse

    by 
    Jon Fingas
    Jon Fingas
    08.09.2016

    Intel isn't the biggest player in the artificial intelligence world, but it might change that very shortly. The chip giant just bought Nervana, a startup specializing in processor-based "deep learning as a service" through technology like its upcoming Nervana Engine, a dedicated AI hardware accelerator due in early 2017. The Intel crew isn't shy about its intentions. It wants Nervana's expertise to help boost the AI performance of its Xeon and Xeon Phi processors on top of broadening its AI know-how -- it's a fast track to the future.

  • Intel's next many-core chip will be a true stand-alone processor

    by 
    Jon Fingas
    Jon Fingas
    11.24.2013

    Intel's current Xeon Phi doesn't really fulfill the promise of many-core computing -- it's a co-processor that needs a 'real' CPU to function. That will change when the next-generation Knights Landing model arrives, Intel revealed at the Supercomputing Conference this week. The 14-nanometer chip will be available as a stand-alone model that can run all software, like a traditional processor; since it won't have to shuttle data between two components, it should be faster, easier to program and cheaper, too. There will also be high-speed memory built into the chip, as well as a number of (unspecified) architectural tweaks. Knights Landing isn't likely to ship until late 2014 or 2015, but it could be worth the wait for researchers, server operators and anyone else who wants massively parallel computing power.

  • Tianhe-2 supercomputer claims the lead in Top 500 list, thanks its 3.1 million processor cores

    by 
    Mat Smith
    Mat Smith
    06.17.2013

    As predicted, Chinese supercomputer Tianhe-2 (also known as the Milky Way-2) has now been crowned the most powerful supercomputer in the world. Arriving years ahead of schedule, and packing 32,000 Xeon processors alongside 48,000 Xeon Phi accelerator processors, the supercomputer can manage a quadrillion mathematical calculations per second (33.85 petaflops), double that of last year's king (and closest rival), the Titan. In this year's results, 80 percent of the Top 500 used Intel processors, while 67 percent had processors with eight or more cores -- as clock speeds stall, supercomputer development has now focused on processors running in parallel. Top 500 editor Jack Dongarra adds that "most of the features of the [Tianhe-2] system were developed in China, and they are only using Intel for the main compute part," meaning that you can expect to see more Chinese entrants (and possibly champions) over the next few years. For now, however, the US still claims the majority of the Top 500, with 253 top-ranking supercomputers.

  • Tianhe-2 may easily crush supercomputer speed record at 30.7 petaflops

    by 
    Jon Fingas
    Jon Fingas
    06.08.2013

    Many suspect that China's Tianhe-2 could win the supercomputer speed wars, but there haven't been real numbers to back up that hunch. We now have some of those figures courtesy of Top 500's Jack Dongarra, and Tianhe-2 could well be the new leader -- by a gigantic margin. The cluster of Ivy Bridge and Xeon Phi chips has benchmarked at 30.65 petaflops when using 90 percent of its nodes, giving it a 74 percent edge (!) over the 17.6-petaflop Titan. There's no guarantee that Tianhe-2 will hold the crown when the official Top 500 rankings appear on June 17th, but we don't see any upstart rivals on the horizon. It could be lonely at the top... for a while.

  • Titan supercomputer leads latest Top 500 list, newly-available Xeon Phi chip cracks top ten

    by 
    Donald Melanson
    Donald Melanson
    11.12.2012

    The supercomputer formerly known as Jaguar recently got an upgrade that was significant enough to earn it a new moniker, and it turns out that was also enough for it to claim the top spot on the latest Top 500 list of the world's most powerful supercomputers. Now known as Titan, the Cray-developed supercomputer at the Oak Ridge National Laboratory edged out the Lawrence Livermore National Laboratory's Sequoia supercomputer for the number one position, reaching 17.59 Petaflops per second with the aid of 18,688 NVIDIA K20 GPUs and an equal number of AMD Opteron processors. As EE Times notes, however, the other big story with this list is the strong showing for Intel's new Xeon Phi co-processors, which have just starting shipping to customers and have already found their way into seven of the supercomputers on the list, including one in the top ten (the Stampede at the Texas Advanced Computing Center at the University of Texas). You can see how your favorite supercomputer did at the link below.

  • Intel opens up about its 'Knights Corner' supercomputer co-processor

    by 
    Daniel Cooper
    Daniel Cooper
    08.31.2012

    HotChips is the show where chip makers come to show off their latest slices of silicon, and Knights Corner architect George Chrysos spilled the beans on Santa Clara's Xeon Phi co-processor. The unit's designed to bolt onto Xeon chips to help supercomputers crunch the numbers faster, by handling the "highly parallel" grunt work necessary for genetic and climate modeling, among other things. Chrysos has lofty goals for the hardware, hoping that it'll contribute to "scientific and technical progress," while we're just excited to see if it can help the company reclaim its Top 500 crown from IBM.

  • Intel christens its 'Many Integrated Core' products Xeon Phi, eyes exascale milestone

    by 
    Terrence O'Brien
    Terrence O'Brien
    06.18.2012

    Been wondering when the next big leap in high performance computing would hit? Well, Intel would like you to believe the time is now and the name of that revolution is the Xeon Phi. Formerly codenamed Knights Corner, the Many Integrated Core product is pushing the field of supercomputers into the era of the exaflop by squeezing a teraflop of performance into a package small enough to plug into a PCIe slot. The Phi brand will, at first at least, be applied to specialized coprocessors designed for highly parallel tasks. The chips are built using Intel's 22nm manufacturing process and 3-D TriGate transistors, piling in more that 50 cores in an effort to combat the inroads made by GPU companies like NVIDIA in the supercomputing space. For more info check out the presentation (PDF) and blog post at the source links.