The future “Summit” pre-exascale supercomputer that is being built out in late 2017 and early 2018 for the US Department of Energy for its Oak Ridge National Laboratory looks like a giant cluster of systems that might be used for training neural networks. …
Every new hardware device that offers some kind of benefit compared to legacy devices faces the task of overcoming the immense inertia that is imparted to a platform by the software that runs upon it. …
With the “Skylake” Xeon E5 v5 processors not slated until the middle of next year and the “Knights Landing” Xeon Phi processors and Omni-Path interconnect still ramping after entering the HPC space a year ago, there are no blockbuster announcements coming out of Intel this year at the SC16 supercomputing conference in Salt Lake City. …
Deep learning and machine learning are major themes at this year’s annual Supercomputing Conference (SC16), both in terms of vendors showcasing systems that are a fit for both high performance computing and machine learning, and in the revelation of new efforts to combine traditional simulations with neural networks for greater efficiency and insight. …
Not all of the new and interesting high performance computing systems are always in the upper echelons of the Top 500 supercomputing list, which was announced at the opening of the SC16 supercomputing conference in Salt Lake City this week. …
While the machine learning applications created by hyperscalers and the simulations and models run by HPC centers are very different animals, the kinds of hardware that help accelerate the performance for one is also helping to boost the other in many cases. …
Over the course of the last five years, GPU computing has featured prominently in supercomputing as an accelerator on some of the world’s fastest machines. …
Chip maker Nvidia was founded by people who loved gaming and who wanted to make better 3D graphics cards, and decades later, the company has become a force in computing, first in HPC and then in machine learning and now database acceleration. …
There is no question that information technology is always too complex, and that people have been complaining about this for over five decades now. …
In many ways, enterprises and hyperscalers have it easy. Very quickly in the wake of its announcement more than two decades ago, the Java programming language, a kind of virtualized C++, became the de facto standard for coding enterprise applications that run the business. …
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