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NEC Embraces Open Source Frameworks for SX-Aurora Vector Computing

In this video from ISC 2019, Dr. Erich Focht from NEC Deutschland GmbH describes how the company is embracing open source frameworks for the SX-Aurora TSUBASA Vector Supercomputer. “Until now, with the existing server processing capabilities, developing complex models on graphical information for AI has consumed significant time and host processor cycles. NEC Laboratories has developed the open-source Frovedis framework over the last 10 years, initially for parallel processing in Supercomputers. Now, its efficiencies have been brought to the scalable SX-Aurora vector processor.”

NEC Steps up with SX-Aurora Vector Engine for HPC

In this video from ISC 2019, Shintaro Momose, Ph. D. from NEC describes the company’s SX-Aurora Vector Engine. “These days, vector functions are added to scalar supercomputers to improve performance in most cases. That means that improving vector performance is the most important way to achieve high effective performance, even with scalar processors. In that respect, it could be said that vector processors are ahead of the trend.”

NEC SX-Aurora Vector Supercomputer to Power Weather Forecasting at DWD in Germany

In this video from ISC 2019, Dr. Rudolf Fischer from NEC describes how the company’s recent win at DWD demonstrates the power and efficiency of the SX-Aurora supercomputer. “The new HPC system will enable the development of seamless prediction of severe weather events, including thunderstorms or heavy rain. The system combines forecasting based on observations with very demanding numerical weather prediction models in order for a more precise prediction of the development and the tracks of such small-scale weather events up to twelve hours into the future.”

Pricing American Options with the NEC SX-Aurora TSUBASA Vector Engine

The Aldwin division of ANEO is now working together with NEC to leverage the leading-edge vector technology of SX-Aurora TSUBASA for porting and optimizing Aldwin’s in-house software for American option pricing. The code is implemented in C++17 and designed to capitalize on the full capabilities of both scalar and vector architectures. It uses OpenMP to multithread the application, while the vectorization is implemented using the Eigen library.

NEC to Host Aurora Forum on Vector Computing at ISC 2019

NEC will host their Aurora Forum at ISC 2019. Designed for developers and users SX-Aurora TSUBA vector computing technology, the The half-day meeting takes place June 17 in Frankfurt, Germany. “The NEC SX-Aurora TSUBASA is the newest in the line of NEC SX Vector Processors with the worlds highest memory bandwidth. Implemented in a PCI-e form factor, the NEC processor can be configured in many flexible configurations together with a standard x86 cluster.”

Video: NEC Accelerates Stanford DAWN Project with Vector Computing

Today NEC Corporation announced that it is supporting the Stanford DAWN project, an initiative to simplify the building of AI-powered applications, by providing a cluster of new “SX-Aurora TSUBASA” vector computers for research in the area of Artificial Intelligence. “We are very pleased to support the Stanford DAWN project. We hope to help demonstrate the value of vector computing to the advancement of AI domains,” said Yuichi Nakamura, Vice President, NEC Central Research Laboratories.

NEC Accelerates HPC with Vector Computing at ISC 2018

In this video from ISC 2018, Oliver Tennert from NEC Deutschland GmbH introduces the company’s vector computing technologies for HPC and Machine Learning. “The NEC SX-Aurora TSUBASA is the newest in the line of NEC SX Vector Processors with the worlds highest memory bandwidth. The Processor that is implemented in a PCI-e form factor can be configured in many flexible configurations together with a standard x86 cluster.”

Vectors are Back: The new NEC SX-Aurora TSUBASA Supercomputer

Today NEC Corporation launched their new high-end HPC product line, the SX-Aurora TSUBASA. “Utilizing cutting-edge chip integration technology, the new product features a complete multi-core vector processor in the form of a card-type Vector Engine (VE), which is developed based on NEC’s high-density interface technology and efficient cooling technology.”

NEC Vector Computers Accelerate Machine Learning

Today NEC Corporation announced that it has developed new Aurora Vector Engine data processing technology that accelerates the execution of machine learning on vector computers by more than 50 times in comparison to Spark technologies. “This 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.”