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NEC HPC Solution Special Site for SC22

Hot item!!

NEC's approach to Quantum Computing

As the evolution of technology brings greater complexity to computer processing in a variety of fields,
there are growing expectations for the emergence of quantum computers with outstanding computational capabilities in certain fields.
Through the continuous pursuit of research and development that began over 20 years ago,
NEC is aiming to establish practical applications for quantum annealing machines, which are a type of quantum computer.
Quantum annealing machines can solve combinatorial optimization problems that were previously difficult to solve due to the need for massive amounts of computation.
In addition, while awaiting the realization of high-performance quantum annealing machines,
NEC is providing annealing simulators based on vector computers that can handle large-scale combinatorial optimization problems.
Through such advanced efforts, NEC will continue contributing to value creation for customers.

Get in -depth information from NEC experts in SC22!!

What is NEC SX-Aurora TSUBASA ?

NEC have developed a Vector Engine (VE) for accelerated computing using vectorization, with the concept that the full application runs on the high performance VE and the operating system tasks are taken care of by the Vector Host (VH), which is a standard x86 server. This is the first time that the NEC SX series vector processor is integrated transparently into a Linux software environment. This allows the VE to concentrate on providing the best application performance. The SX-Aurora TSUBASA VE is flexible in sizing, can be water or air cooled, with an outstanding 48 GB HBM2 memory with a bandwidth of up to 1.53 TB/s and a low energy consumption.
Over the years a large amount of applications from different areas have been covered with especially good performance on simulation, weather forecasting, disaster prevention, resource exploration or oil and gas seismic imaging. Besides these applications the VE strongly supports Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics and Simulated Annealing to name a few.

NEC has launched a new water-cooled "SX-Aurora TSUBASA" vector supercomputer that offers 2.5 times the computing performance and twice the power efficiency of previous models.
The new product will be implemented at Tohoku University in Japan for large-scale scientific computing, as well as at the German Meteorological Agency "Deutscher Wetterdienst" (DWD) to further improve the performance of their weather forecasting system.


NEC in SC22

Meet NEC in Dallas !!

Find NEC with "#3447".
NEC booth is located at center hall.
NEC members are waiting for you!

new windowLink to SC22 Floor Plan

Don't miss NEC's talk session at Exhibitor Forum !!

NEC will talk about the latest technology of NEC Quantum Computing.

Title : Aurora Vector Annealing to Solve Social Issues and Acceleration by NEC's Supercomputer, SX-Aurora TSUBASA
Time : 15th November 13:30-14:00CST
Location : D171

new windowLink to Exhibitor Forum schedule

Come to the NEC booth!!
10-minutes presentation of NEC's approach to quantum computing

15th November
11:00 Quantum Computing
14:30 NEC Delivering HPC Infrastructure Service for German Automotive Industry

16th November
11:00 Porting pseudospectral computational fluid dynamics Fortran solvers to trial NEC VE20B
14:30 Quantum Computing

17th November
11:00 Quantum Computing

Presentations at Aurora Forum

Session 1. NEC Quantum Computing Technologies to Solve Social Issues

Presenter: Shintaro Momose, Director, Quantum Computing Business Department, NEC Corporation
< Abstract >
This presentation shows NEC’s quantum computing strategies, development status of quantum computing machine, and NEC's current products to provide higher sustained performance in the annealing/optimization fields. 
NEC developed the Aurora Vector Annealer as a digital annealer working on the SX-Aurora TSUBASA supercomputer and has a strong business relationship with D-Wave providing a quantum annealer. 
NEC aims at solving various social issues by using the quantum/digital annealing technologies and by developing a hybrid platform with supercomputer and quantum/digital annealer to provide much higher sustained performance.

Session 2. From seismic imaging to wind turbine modelling: benefits of the NEC SX-Aurora Vector Engine for the energy sector

Presenter: Vincent Etienne, Benchmarking Analyst, NEC Deutschland GmbH
< Abstract >
The reduction of greenhouse gas emissions to limit the global temperature increase is a major challenge for our society. Most of governments have setup roadmaps to reduce their carbon footprint in the near future. To reach these objectives, Oil & Gas companies are expected to play a pivotal role. At present, we witness significant investments from these companies to develop renewable energies besides the exploitation of fossil resources. 
In this talk, we discuss the computing requirements of traditional applications in the energy sector. We investigate how renewable energies could impact the HPC ecosystem with the introduction of novel algorithms. For each application, we discuss its compute footprint and show it can be handled efficiently on the NEC SX-Aurora TSUBASA Vector Engine, an architecture specially designed for HPC workloads.

Session 3. VEDA: Best practices for to use hybrid programming on the NEC SX-Aurora TSUBASA

Presenter: Nicolas Weber, Senior Research Engineer, NEC Laboratories Europe GmbH
< Abstract >
The Vector Engine Driver API (VEDA) was developed to enable easy porting of existing CUDA applications to NEC's SX-Aurora TSUBASA. While the API enables a smooth transition between the different architectures, there are unique features that require special attention, to achieve optimal performance.

In this presentation we show multiple methods to improve your code. First, we explain how to use C++ function overloading and templates. Second, we show how to make best use of the unique features of VEDAdeviceptrs. Third, we explain our improvements for VEDA's memset and memcopy operations, that can also improve your own code.

Session 4. Accelerating and Optimizing Oil and Gas exploration planning using Quantum inspired Classical Computing or Vector Annealing on Vector Engine Accelerator

Presenter: Deepak Pathania, Manager (Business Development/Enablement), NEC Corporation India
< Abstract >
Resource exploration planning optimization is a difficult problem which cannot be solved by classical computers today. Such problems are referred to as combinatorial optimization problems (NPHard), typically solved by quantum annealer or computers. Exploration drilling planning is one such challenge that if addressed correctly can yield tremendous benefits in terms of improved success ratio and rescued cost and resources required. Since, using an actual quantum computer is limited today by hardware availability for real-world applications, quantum inspired classical computers (QuICC) can be helpful either working independently or in a hybrid fashion, in combination with a quantum computer. In this presentation, we share how a QuICC solution can independently solve this NP-hard problem. We demonstrate using Simulated Annealing on vector engine-based accelerator system as a QuICC solution which can solve exploration drilling planning problem, with similar construction as a travelling salesman (TSP) or a combinatorial optimization problem.

Session 5. What we achieve with the Artificial Ego in Super Formula

Presenter: Kosuke Tomonaga, Collaborative Researcher, The University of Tokyo / SoftBank Robotics Corp.
< Abstract >
In the previous SC21 and ISC2022, we introduced our efforts to implement an artificial ego using an extended Riemann sphere on the SX-Aurora TSUBASA.

In this presentation, we will show how we realized the concept of "Mobility for All" as a result of the initial AE installed in a racing vehicle. In our experiment, 29 subjects, including people with disabilities, evaluated the AE vehicle and gave it a very high score of 9 out of 10.

In the future we plan to measure the moral dimension by calculating the synchronization rate between the emotions of the vehicle, the emotions of the driver, and the emotions of the fans.

Speaker information is subject to change without notice.


Building on the successful evolution of the SX-series of vector-supercomputers the next generation of this product line clearly focusses on all aspects of efficiency, NEC have combined the flexibility of a cluster with the raw power of the NEC Vector Engine Processor.

Vector Supercomputing Solution

The NEC LX Series covers x86 based computer platforms, and accompanying network, software and infrastructure. NEC has developed a solution based on the changes that had taken place in the automotive sector for simulation, which in turn, later opened up a larger market for LX.

Scalar Supercomputing Solution

Technical Articles

The SX-Aurora TSUBASA is supported by many hardware and software technologies. In this section, we wanted to show you technical details and some examples for implementing and using the vector engine with little effort.

Nov. 1, 2022
S. Kurihara, A. Yoshida
NEC Solution Innovation, LTD
R. Ogata 
NEC Corporation

Nov. 1, 2022
P. Lipka
NEC Deutschland GmbH

Case Studies

consisting of 72 SX-Aurora TSUBASA nodes and 68 LX scalar nodes.
Click the link, then you will find state-of-the-art researches using NEC HPC systems.

By applying quantum computing to delivery plans, a two-hour task by experienced staff is shortened to a 12-minute automated operation.

NEC Offices

Our Partner

GigaIO provides anyone operating a data center, edge cloud, or cluster with a cloud-class acceleration fabric.


AMD provides the world’s highest performance x86 server processors for technical computing with the latest AMD Milan-X series.


Altair is a global technology company that provides software and cloud solutions in the areas of simulation, high-performance computing (HPC), and artificial intelligence (AI). Altair enables organizations across broad industry segments to compete more effectively in a connected world while creating a more sustainable future. To learn more, please visit