exaflop
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Desktop-sized laser supercomputers could be coming by 2020
Small, eco-friendly optical supercomputers may soon be crunching quadrillions of calculations per second (exaflops) if a company called Optalysys has its way. It claims to be months away from demonstrating a prototype optical computer that will run at 346 gigaflops to start with -- not as fast as the best supercomputers, but pretty good for a proof-of-concept. Here's how it works: low-intensity lasers are beamed through layers of liquid crystal grids, which change the light intensity based on user inputted data. The resulting interference patterns can be used to solve mathematical equations and perform other tasks. By splitting the beam through multiple grids, the system can compute in parallel much more efficiently than standard multi-processing supercomputers (as shown in the charming Heinz Wolff-hosted video below).
China's Tianhe-2 supercomputer could hit 100 petaflops in 2015, may have a race on its hands
China's supercomputer development is as much driven by national reputation as by military prowess and science; the country chose to build the Sunway BlueLight MPP with domestic chips knowing that it wouldn't get the absolute performance crown. It won't be quite so modest the next time around. China's National University of Defense Technology wants the Tianhe-2 supercomputer due in 2015 to crack an extremely high 100 petaflops, or five times faster than the record-setting Titan over in the US and a whopping 40 times faster than the Tianhe-1A. Before we hand the crown over, though, Top 500 supercomputer chart keeper Jack Dongarra notes to ITworld that China might have to sprint if it wants the symbolic title: the EU, Japan and US are all striving for the same benchmark, and they're not backing off anytime soon. The nation's trump card may have to be long-term plans for an exaflop-strength supercomputer by 2018, at which point we suspect the bragging will simmer down. For awhile.
Intel christens its 'Many Integrated Core' products Xeon Phi, eyes exascale milestone
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.
Intel plans exascale computing by 2018, wants to make petaflops passé
Sure, Fujitsu has a right to be proud of its K supercomputer -- performing over 8 petaflops with just under 70,000 Venus CPUs is nothing to sneeze at. Intel isn't giving up its status as the supercomputing CPU king, however, as it plans to bring exascale computing to the world by the end of this decade. Such a machine could do one million trillion calculations per second, and Intel plans to make it happen with its Many Integrated Core Architecture (MIC). The first CPUs designed with MIC, codenamed Knights Corner, are built on a 22nm process that utilizes the company's 3D Tri-Gate transistors and packs over 50 cores per chip. These CPUs are designed for parallel processing applications, similar to the NVIDIA GPUs that will be used in a DARPA-funded supercomputer we learned about last year. Here we thought the war between these two was over -- looks like a new one's just getting started. PR's after the break.
Exascale computing: it's the new terascale
Anybody remember when a gigaflop was a big deal? Oh, how far we've come. Researchers are now talking about exascale computing, which means systems that can handle a million trillion calculations per second. To put that in perspective, IBM's BlueGene/L (pictured), the fastest machine running, has a peak performance of 596 teraflops. A petaflop is 1000 times faster than a teraflop, and an exaflop is 1000 times faster than a petaflop. Yeah, that's a lot of flops. Right now researchers are sorting out the most preliminary of groundwork, such as how do you get data to tens of thousands of processors at a time for crunching, but we're sure before a few decades are up they'll finally have built a machine that is powerful enough to cure all human diseases -- or, you know, maybe even play Crysis at 60fps.
