Nvidia CEO’s “Hyper-Moore’s Law” Vision for Future Supercomputers
Over the last year in particular, we have documented the merger between high performance computing and deep learning and its various shared hardware and software ties. …
Over the last year in particular, we have documented the merger between high performance computing and deep learning and its various shared hardware and software ties. …
At the annual Supercomputing Conference (SC16) last week, the emphasis was on deep learning and its future role as part of supercomputing applications and systems. …
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. …
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. …
The latest listing of the Top 500 rankings of the world’s most powerful supercomputers has just been released. …
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. …
The thing we hear time and time again from the hyperscalers is that technology is a differentiator, but supply chain can make or break them. …
Dave Altavilla recently penned an article for Forbes about the critical role FPGAs are playing in helping to build reconfigurable data centers and advance the development of artificial intelligence (AI). …
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