ARM has been something of stealth architecture in the battle to unseat the x86 as the dominant platform for high performance computing systems. That lower profile changed this week at the ISC 2016 conference, where Fujitsu announced it would develop an ARM processor for its Post-K exascale supercomputer. But the effort promises to have much a wider impact on the HPC landscape than just a single system.
Intel’s much-awaited Knights Landing Xeon Phi processor is now being shipped in volume to OEMs and other system providers, who will soon be churning out HPC gear equipped with the new chip. And if there was any doubt, Intel made it clear that with Knights Landing, it would be going after the same set of HPC and deep learning customers that NVIDIA has been successfully courting with its Tesla GPU portfolio. The official launch of the new processor was announced at the ISC High Performance conference (ISC), which is taking place this week in Frankfurt.
US supercomputing was dealt a couple of blows on Monday after the latest rankings of the 500 fastest supercomputers in the world were announced during the opening to the International Supercomputing Conference (ISC). In the updated TOP500 list, China retained its leadership at the top with a new number one system, while also overtaking the United States in the number of total systems and aggregate performance. This is first time in the list’s history that the US did not dominate the TOP500 results in these latter two categories.
A new Chinese supercomputer, the Sunway TaihuLight, captured the number one spot on the latest TOP500 list of supercomputers released on Monday morning at the ISC High Performance conference (ISC) being held in Frankfurt, Germany. With a Linpack mark of 93 petaflops, the system outperforms the former TOP500 champ, Tianhe-2, by a factor of three. The machine is powered by a new ShenWei processor and custom interconnect, both of which were developed locally, ending any remaining speculation that China would have to rely on Western technology to compete effectively in the upper echelons of supercomputing.