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Aurora Articles

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.

May 28, 2022
Nicolas Weber
NEC Laboratories Europe

SOL: Reducing the Maintenance Overhead for Integrating Hardware Support into AI Frameworks

May 28, 2022
S. Yokotani
NEC Corporation

Frovedis M/L: Unsupervised Learning: faster learning time for Clustering and t-SNE

May 28, 2022
S. Yokotani
NEC Corporation

Example of training time reduction for a classifier (decision tree, gradient boosting decision tree)

Nov 16, 2021
M, Abe, S.N. Raagul, NEC
E. Gonzalez, Xpress AI GK

Performance Benchmarking for Vector Version Spark SQL

Nov 15, 2021
Yosuke Asada, Manager
AI Platform division

NEC's Activities in Quantum Computing

NEC AI Platform Div
S. Yokotani

Regression analysis using gradient boosting regression tree

NEC AI Platform Div
S. Yokotani

Operations with Frovedis DataFrame

NEC Laboratories Europe
N. Weber
NEC Deutschland HPCE
E. Focht

AVEO-VEDA: Hybrid Programming for the NEC Vector Engine

NEC AI Platform Div
M.Ikuta

How vector computer contributes to seismic applications

NEC AI Platform Div
S.Yokotani

Frovedis, a development platform for AI / ML

NEC AI Platform Div
K. IGUCHI

What kind of value will Vector Engine provide for the Oil & Gas market?

NEC AI Platform Div
T. OHMURA

NQSV scheduler

NEC AI Platform Div
T. NAKASONE

SX-Aurora TSUBASA Offloading Frameworks

NEC AI Platform Div
A. KAWAHARA and S. KAWAMOTO

Docker support on SX-Aurora TSUBASA

NEC AI Platform Div
R. ISHIHARA and K. KANEMURA

Hybrid MPI

NEC AI Platform Div
A. YOSHIDA and R. OGATA

SCA: A Library to Accelerate Stencil Codes on Vector Engine

NEC AI Platform Div
S. KURIHARA and R. OGATA

NLCPy: NumPy-like Python Library Accelerated with Vector Engine

NEC AI Platform Div
T. SAITO and S. NAGASE

Vector Engine Type20 micro-architecture overview