Keichi Takahashi

Assistant Professor

Tohoku University

Japan

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About

Keichi Takahashi is an Assistant Professor at Tohoku University in Japan. His research interests include container and traditional virtualization, machine learning in quantum annealing, empirical dynamic modeling, monitoring systems for OpenFlow networks, automated quantization in neural networks, and data management frameworks. He has published several recent articles addressing these topics, contributing significantly to advancements in high-performance computing and network systems.

Articles (6)

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

Tohoku University

JAPAN

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Keichi Takahashi

Research Interests

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About

Articles (6)

The Convergence of Container and Traditional Virtualization: Strengths and Limitations

Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search

Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning

Opimon: A Transparent, Low-Overhead Monitoring System for OpenFlow Networks

Automated Quantization and Retraining for Neural Network Models Without Labeled Data

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

Collaborators (6)

Kohei Ichikawa

Hiroyuki Takizawa

Kundjanasith Thonglek

Joseph Park

Wassapon Watanakeesuntorn

Michael Zielewski

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