Fujitsu Bets On Deep Learning And HPC Divergence
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. …
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. …
2011 marked ARM’s first step into the world of HPC with the European Mont-Blanc project. …
Big data, data science, machine learning, and now deep learning are all the rage and have tons of hype, for better—and in some ways, for worse. …
There is increasing interplay between the worlds of machine learning and high performance computing (HPC). …
The hyperscalers of the world are increasingly dependent on machine learning algorithms for providing a significant part of the user experience and operations of their massive applications, so it is not much of a surprise that they are also pushing the envelope on machine learning frameworks and systems that are used to deploy those frameworks. …
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …
The United States for years was the dominant player in the high-performance computing world, with more than half of the systems on the Top 500 list of the world’s fastest supercomputers being housed in the country. …
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. …
The supercomputing industry is accustomed to 1,000X performance strides, and that is because people like to think in big round numbers and bold concepts. …
If the ARM processor in its many incarnations is to take on the reigning Xeon champ in the datacenter and the born again Power processor that is also trying to knock Xeons from the throne, it is going to need some bigger vector math capabilities. …
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