IBM Highlights PowerAI, OpenPower System Scalability
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 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. …
In the IT business, just like any other business, you have to try to sell what is on the truck, not what is planned to be coming out of the factories in the coming months and years. …
Explosive data growth and a rising demand for real-time analytics are making high performance computing (HPC) technologies increasingly vital to success. …
Supercomputing, by definition, is an esoteric, exotic, and relatively small slice of the overall IT landscape, but it is, also by definition, a vital driver of innovation within IT and in all of the segments of the market where simulation, modeling, and now machine learning are used to provide goods and services. …
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. …
No matter what, system architects are always going to have to contend with one – and possibly more – bottlenecks when they design the machines that store and crunch the data that makes the world go around. …
At AMD’s Epyc launch few weeks ago, Lisa Su, Mark Papermaster, and the rest of the AMD Epyc team hammered home that AMD designed its new Zen processor core for servers first. …
Just by being the chief architect of the IBM’s BlueGene massively parallel supercomputer, which was built as part of a protein folding simulation grand challenge effort undertaken by IBM in the late 1990s, Al Gara would be someone whom the HPC community would listen to whenever he spoke. …
For years, the pace of change in large-scale supercomputing neatly tracked with the curve of Moore’s Law. …
There are plenty of things that the members of the high performance community do not agree on, there is a growing consensus that machine learning applications will at least in some way be part of the workflow at HPC centers that do traditional simulation and modeling. …
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