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NEC’s Aurora Vector Engine & Advanced Storage Speed HPC & Machine Learning at ISC 2017

In this video from ISC 2017, Oliver Tennert from NEC Deutschland GmbH introduces the company’s advanced technologies for HPC and Machine Learning.

“Today NEC Corporation announced that it has developed data processing technology that accelerates the execution of machine learning on vector computers by more than 50 times in comparison to Apache Spark technologies. Aurora Vector Engine technology enables users to quickly benefit from the results of machine learning, including the optimized placement of web advertisements, recommendations, and document analysis,” said Yuichi Nakamura, General Manager, System Platform Research Laboratories, NEC Corporation. “Furthermore, low-cost analysis using a small number of servers enables a wide range of users to take advantage of large-scale data analysis that was formerly only available to large companies.”

To start our booth tour, Shintaro Momose, Principal Engineer HPC, IT Platform Division at NEC Corporation and Dr. Rudolf Fischer, Director Core Technology, NEC Deutschland GmbH describe the company’s new Aurora Vector Engine.

After that, Alexander Menck and Dr. Erich Focht from NEC Deutschland GmbH describe the company’s innovative storage solutions based on Lustre, GPFS, BeeGFS, and ZFS.

See our complete coverage of ISC 2017

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Comments

  1. BlackDove says:

    How many cores and how much memory and bandwidth do these things have? Whats the interconnect like?

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