A First Look at Summit Supercomputer Application Performance
Big iron aficionados packed the room when ORNL’s Jack Wells gave the latest update on the upcoming 207 petaflops Summit supercomputer at the GPU Technology Conference (GTC18) this week. …
Big iron aficionados packed the room when ORNL’s Jack Wells gave the latest update on the upcoming 207 petaflops Summit supercomputer at the GPU Technology Conference (GTC18) this week. …
At the end of July, Oak Ridge National Laboratories started receiving the first racks of servers that will eventually be expanded to become the “Summit” supercomputer, the long-awaited replacement to the “Titan” hybrid CPU-GPU system that was built by Cray and installed back in the fall of 2012. …
The golden grail of deep learning has two handles. On the one hand, developing and scaling systems that can train ever-growing model sizes is one concern. …
The oil and gas industry has been on the cutting edge of many waves of computing over the several decades that supercomputers have been used to model oil reservoirs in both the planning of the development of an oil field and in quantifying the stored reserves of a field and therefore the future possible revenue stream of the company. …
When talking about the future of supercomputers and high-performance computing, the focus tends to fall on the ongoing and high-profile competition between the United States with its slowly eroding place as the kingpin in the industry and China and the tens of billions of dollars that the government has invested in recent years to rapidly expand the reach of the country’s tech community and the use of home-grown technologies in massive new systems. …
As we previously reported, Google unveiled its second-generation TensorFlow Processing Unit (TPU2) at Google I/O last week. …
Industrial companies have replaced people with machines, systems analysts with simulations, and now the simulations themselves could be outpaced by machine learning—albeit with a human in the loop, at the beginning at least. …
If you can’t beat the largest cloud players at economies of scale, the only option is to try to outrun them in performance, capabilities, or price. …
When it comes to supercomputing, you don’t only have to strike while the iron is hot, you have to spend while the money is available. …
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. …
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