DRAS-OD: A Reinforcement Learning based Job Scheduler for On-Demand Job Scheduling in High-Performance Computing Systems

Hang Cui, Keichi Takahashi, Hiroyuki Takizawa

2024 Twelfth International Symposium on Computing and Networking (CANDAR)　p. 21-29　2024/11/26　Research paper (international conference proceedings)

Real-Time Phase Retrieval Using On-the-Fly Training of Sample-Specific Surrogate Models

Ryota Koda, Keichi Takahashi, Hiroyuki Takizawa, Nozomu Ishiguro, Yukio Takahashi

2024 Twelfth International Symposium on Computing and Networking (CANDAR)　p. 59-66　2024/11/26　Research paper (international conference proceedings)

A QA-Assisted Job Scheduler for Minimizing the Impact of Urgent Computing on HPC System Operation

Tatsuyoshi Ohmura, Keichi Takahashi, Ryusuke Egawa, Hiroyuki Takizawa

2024 Twelfth International Symposium on Computing and Networking Workshops (CANDARW)　p. 197-203　2024/11/26　Research paper (international conference proceedings)

Modernizing an Operational Real-Time Tsunami Simulator to Support Diverse Hardware Platforms

Keichi Takahashi, Takashi Abe, Akihiro Musa, Yoshihiko Sato, Yoichi Shimomura, Hiroyuki Takizawa, Shunichi Koshimura

2024 IEEE International Conference on Cluster Computing (CLUSTER)　p. 414-425　2024/09/24　Research paper (international conference proceedings)

HPCシステム用ウェブポータルにおけるジョブスケジューラの抽象化

谷澤 悠太, 高橋 慧智, 下村 陽一, 滝沢 寛之

研究報告ハイパフォーマンスコンピューティング（HPC）　Vol. 2024-HPC-195　No. 9　p. 1-9　2024/08　Research paper (conference, symposium, etc.)

タスク間の依存関係を考慮したワークフローのバッチジョブスケジューリング

柳井快斗, 高橋慧智, 下村陽一, 滝沢寛之

xSIG 2024　2024/08　Research paper (conference, symposium, etc.)

説明可能AI技術によるプログラムの性能モデルの解析

片山敏伸, 高橋慧智, 下村陽一, 滝沢寛之

xSIG 2024　2024/08　Research paper (conference, symposium, etc.)

Towards Sub-10 nm Spatial Resolution by Tender X-ray Ptychographic Coherent Diffraction Imaging

Nozomu Ishiguro, Fusae Kaneko, Masaki Abe, Yuki Takayama, Junya Yoshida, Taiki Hoshino, Shuntaro Takazawa, Hideshi Uematsu, Yuhei Sasaki, Naru Okawa, Keichi Takahashi, Hiroyuki Takizawa, Hiroyuki Kishimoto, Yukio Takahashi

Applied Physics Express　Vol. 17　No. 5　p. 052006-1-052006-5　2024/05/07　Research paper (scientific journal)

Clustering Based Job Runtime Prediction for Backfilling Using Classification

Hang Cui, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

27th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2024)　2024/05　Research paper (international conference proceedings)

Maximizing Energy Budget Utilization Based on Dynamic Power Cap Control

Sho Ishii, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

27th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2024)　2024/05　Research paper (international conference proceedings)

A node selection method for on-demand job execution with considering deadline constraints

Daiki Nakai, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

27th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2024)　2024/05　Research paper (international conference proceedings)

Combining lossy compression with multi-level caching for data staging over network

Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

26th Workshop on Advances in Parallel and Distributed Computational Models (APDCM)　2024/05　Research paper (international conference proceedings)

XAI-Based Feature Importance Analysis on Loop Optimization

Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

19th International Workshop on Automatic Performance Tuning (iWAPT)　2024/05　Research paper (international conference proceedings)

AOBA: The Most Powerful Vector Supercomputer in the World

Hiroyuki Takizawa, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Kenji Oizumi, Satoshi Ono, Takeshi Yamashita, Atsuko Saito

Sustained Simulation Performance 2022　p. 71-81　2024/03/15　Part of collection (book)

Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems

Jiaheng Liu, Ryusuke Egawa, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IEICE Electronics Express　Vol. 21　No. 4　p. 20230520-20230520　2024/02/25　Research paper (scientific journal)

Toward Scalable Empirical Dynamic Modeling

Keichi Takahashi, Kohei Ichikawa, Gerald M. Pao

Sustained Simulation Performance 2022　p. 61-69　2024

Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives

Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, Hajimu Iida

Proceedings - 2024 IEEE International Conference on Cluster Computing Workshops, CLUSTER Workshops 2024　p. 127-135　2024　Research paper (international conference proceedings)

Performance Evaluation of File-based and Memory-based Workflows on a Heterogeneous Vector System

Yutsen Tseng, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Vol. 2023-HPC-192(31)　No. 31　p. 1-7　2023/12　Research paper (conference, symposium, etc.)

Parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding

Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, Hajimu Iida

Parallel and Distributed Computing, Applications and Technologies　p. 32-42　2023/11/29　Research paper (international conference proceedings)

Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks

Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida

The Eleventh International Symposium on Computing and Networking (CANDAR 2023)　2023/11　Research paper (international conference proceedings)

Performance Evaluation of a Vector Supercomputer “AOBA-S”

Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

Vol. 2023-HPC-191　No. 1　p. 1-9　2023/09　Research paper (conference, symposium, etc.)

ベクトルプロセッサを用いた統計的機械学習に関する研究

幸田涼詩, 高橋慧智, 下村陽一, 滝沢寛之

xSIG 2023　2023/08　Research paper (conference, symposium, etc.)

Comparison of Parallel STL with C/C++ GPU Programming Models

Joanna Imada, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Vol. 2023-HPC-190　No. 2　p. 1-7　2023/07　Research paper (conference, symposium, etc.)

The Convergence of Container and Traditional Virtualization: Strengths and Limitations

Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan, Pattara Leelaprute, Pree Thiengburanathum, Passakorn Phannachitta

SN Computer Science　Vol. 4　No. 4　2023/05/11　Research paper (scientific journal)

Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint

Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)　2023/05　Research paper (international conference proceedings)

Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches

Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

Parallel and Distributed Computing, Applications and Technologies　p. 373-386　2023/04/08　Research paper (international conference proceedings)

Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems

Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Parallel and Distributed Computing, Applications and Technologies　p. 3-15　2023/04/08　Research paper (international conference proceedings)

A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems

Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Parallel and Distributed Computing, Applications and Technologies　p. 331-343　2023/04/08　Research paper (international conference proceedings)

探索と活用の調整による並列ベイズ最適化の効率化

佐竹 望都, 高橋 慧智, 下村 陽一, 滝沢 寛之

研究報告ハイパフォーマンスコンピューティング（HPC）　Vol. 2023-HPC-188　No. 33　p. 1-8　2023/03　Research paper (conference, symposium, etc.)

Xevolver for Performance Tuning of C Programs

Hiroyuki Takizawa, Shunpei Sugawara, Yoichi Shimomura, Keichi Takahashi, Ryusuke Egawa

Sustained Simulation Performance 2021　p. 85-93　2023/02/18　Part of collection (book)

Evaluation of a load balancing method considering inter-site latency

Kyoya MURAKAM, Keichi TAKAHASHI, Kohei ICHIKAWA, Hajimu IIDA†

2023/02　Research paper (conference, symposium, etc.)

Prototype of a Batched Quantum Circuit Simulator for the Vector Engine.

Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa

SC Workshops　p. 1499-1505　2023　Research paper (international conference proceedings)

Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning.

Michael R. Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IEEE Access　Vol. 11　p. 104285-104294　2023　Research paper (scientific journal)

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

Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao

IEEE Access　Vol. 11　p. 68171-68183　2023　Research paper (scientific journal)

Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants

Thonglek, K., Ichikawa, K., Takahashi, K., Nakasan, C., Yuasa, K., Babasaki, T., Iida, H.

IEICE Transactions on Communications　Vol. E106.B　No. 7　2023　Research paper (scientific journal)

Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer

Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

ISC 2023　p. 359-378　2023　Research paper (international conference proceedings)

A Real-time Flood Inundation Prediction on SX-Aurora TSUBASA

Yoichi Shimomura, Akihiro Musa, Yoshihiko Sato, Atsuhiko Konja, Guoqing Cui, Rei Aoyagi, Keichi Takahashi, Hiroyuki Takizawa

29th International Conference on High Performance Computing, Data, and Analytics (HiPC)　2022/12　Research paper (international conference proceedings)

蓄電システムのロバスト制御によるマルチユース実証試験 ～ 需要・発電予測精度評価 ～

植嶋美喜, 湯淺一史, 竹内義晴, 馬場﨑忠利, Kundjanasith Thonglek, 市川昊平, 高橋慧智

信学技報　Vol. 122　No. 201　p. 21-24　2022/10

機械学習に基づくジョブスケジューリングのためのGANによるデータ拡張

石井 翔, 高橋 慧智, 下村 陽一, 滝沢 寛之

研究報告ハイパフォーマンスコンピューティング（HPC）　Vol. 2022-HPC-185　No. 15　p. 1-8　2022/07　Research paper (conference, symposium, etc.)

計算特性に着目した実行時間予測に基づくリアルタイム洪水シミュレーションの動的資源割当

青柳 嶺, 高橋 慧智, 下村 陽一, 滝沢 寛之

研究報告ハイパフォーマンスコンピューティング（HPC）　Vol. 2022-HPC-185　No. 27　p. 1-9　2022/07　Research paper (conference, symposium, etc.)

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

Wassapon WATANAKEESUNTORN, Keichi TAKAHASHI, Chawanat NAKASAN, Kohei ICHIKAWA, Hajimu IIDA

IEICE Transactions on Communications　Vol. E105-B　No. 4　p. 485-493　2022/04　Research paper (scientific journal)

A Cost Model for Compilers Based on Transfer Learning.

Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IPDPS Workshops　p. 942-951　2022　Research paper (international conference proceedings)

Automated selection of build configuration based on machine learning.

Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IPDPS Workshops　p. 934-941　2022　Research paper (international conference proceedings)

Sparse Communication for Federated Learning.

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute, Hajimu Iida

ICFEC　p. 1-8　2022　Research paper (international conference proceedings)

Automated Quantization and Retraining for Neural Network Models Without Labeled Data.

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Pattara Leelaprute, Hajimu Iida

IEEE Access　Vol. 10　p. 73818-73834　2022　Research paper (scientific journal)

Acar: An application-aware network routing system using SRv6.

Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida

CCNC　p. 751-752　2022　Research paper (international conference proceedings)

Difficulty of detecting overstated dataset size in Federated Learning

Hideaki Takahashi, Kohei Ichikawa, Keichi Takahashi

Vol. 2021-DPS-189　No. 10　2021/12　Research paper (conference, symposium, etc.)

Enhancing the Prediction Accuracy of Solar Power Generation using a Generative Adversarial Network

Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat Nakasan, Kazufumi Yuasa, Tadatoshi Babasaki, Hajimu Iida

IEEE Green Energy and Smart Systems Conference (IGESSC)　2021/11　Research paper (international conference proceedings)

kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos

Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park, Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao

Practice & Experience in Advanced Research Computing (PEARC 2021)　p. 8-8　2021/07　Research paper (international conference proceedings)

SRv6を用いたアプリケーションの特性を考慮した通信経路制御手法

杉浦智基, 高橋慧智, 市川昊平, 飯田元

研究報告インターネットと運用技術（IOT）　Vol. 2021-IOT-53　No. 18　2021/05　Research paper (conference, symposium, etc.)

Comparative Performance Study of Lightweight Hypervisors Used in Container Environment

Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta

Proceedings of the 11th International Conference on Cloud Computing and Services Science　p. 215-223　2021/04　Research paper (international conference proceedings)

A codesign framework for online data analysis and reduction

Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Y. Choi, Keichi Takahashi, Kevin Huck, Igor Yakushin, Alan Sussman, Todd Munson, Ian Foster, Scott Klasky

Concurrency and Computation: Practice and Experience　2021　Research paper (international conference proceedings)

Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution

Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao

2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS)　p. 196-205　2020/12　Research paper (international conference proceedings)

Federated Learning of Neural Network Models with Heterogeneous Structures

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA)　p. 735-740　2020/12　Research paper (international conference proceedings)

共有型IoT資源利用アプリケーションのためのデータフロープログラミング

村木 暢哉, 木戸 善之, 高橋 慧智, 山田 拓哉, 伊達 進, 梅谷 麗, 石橋 靖嗣, 下條 真司

研究報告システムソフトウェアとオペレーティング・システム（OS）　Vol. 2020-OS-150　No. 5　2020/07　Research paper (conference, symposium, etc.)

Retraining Quantized Neural Network Models with Unlabeled Data

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida

2020 International Joint Conference on Neural Networks (IJCNN)　2020/07　Research paper (international conference proceedings)

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

William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip Davis, Jong Choi, Kai Germaschewski, Kevin Huck, Axel Huebl, Mark Kim, James Kress, Tahsin Kurc, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky

SoftwareX　Vol. 12　p. 100561-100561　2020/07　Research paper (scientific journal)

Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution.

Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park, George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao

CoRR　Vol. abs/2011.11082　2020　Research paper (scientific journal)

Integrating SDN-Enhanced MPI with Job Scheduler to Support Shared Clusters

Keichi Takahashi, Susumu Date, Yasuhiro Watashiba, Yoshiyuki Kido, Shinji Shimojo

Sustained Simulation Performance 2018 and 2019　p. 149-159　2020　Part of collection (book)

In Situ/In Transitアプローチを用いた大規模数値解析におけるポスト処理効率化

堤誠司, 藤田直行, 伊藤浩之, 大日向大地, 井上敬介, 松村洋祐, 高橋慧智, Greg Eisenhauer, Norbert Podhorszki, Scott Klasky

第33回数値流体力学シンポジウム　2019/11

Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model.

Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, Chawanat Nakasan

Workshop on Monitoring and Analysis for High Performance Computing Systems Plus Applications, HPCMASPA 2019　p. 1-8　2019　Research paper (international conference proceedings)

A Codesign Framework for Online Data Analysis and Reduction.

Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd Munson

Workflows in Support of Large-Scale Science, WORKS 2019　p. 11-20　2019　Research paper (international conference proceedings)

Connected-HPCに向けたネットワークの動的管理技術の設計と実装

森本 弘明, 高橋 慧智, 山田 拓哉, 木戸 善之, 伊達 進, 下條 真司

日本ソフトウェア科学会 第16回ディペンダブルシステムワークショップ (DSW2018)　2018/12　Research paper (conference, symposium, etc.)

医療応用を考慮した動的構成変更可能計算機クラスタの検討

三澤 明寛, 高橋 慧智, 渡場 康弘, 伊達 進, 吉川 隆士, 阿部 洋丈, 野崎 一徳, 木戸 善之, Lee CHONHO, 下條 真司

日本ソフトウェア科学会 第16回ディペンダブルシステムワークショップ (DSW2018)　2018/12　Research paper (conference, symposium, etc.)

Towards Connected-HPC

Hiroaki Morimoto, Takuya Yamada, Keichi Takahashi, Yoshiyuki Kido, Susumu Date, Shinji Shimojo

SEAIP2018　2018/11

A Traffic Simulator with Intra-node Parallelism for Designing High-performance Interconnects.

Yohei Takigawa, Keichi Takahashi, Susumu Date, Yoshiyuki Kido, Shinji Shimojo

2018 International Conference on High Performance Computing & Simulation, HPCS 2018, Orleans, France, July 16-20, 2018　p. 445-451　2018　Research paper (international conference proceedings)

UnisonFlow: A Software-Defined Coordination Mechanism for Message-Passing Communication and Computation.

Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo

IEEE Access　Vol. 6　p. 23372-23382　2018　Research paper (scientific journal)

SDNを用いた高機能なインターコネクトの実現

森本弘明, Dashdavaa Khureltulga, 高橋慧智, 木戸善之, 伊達進, 下條真司

第15回 ディペンダブルシステムワークショップ (DSW 2017)　2017/12　Research paper (other academic)

Design and Implementation of SDN-enhanced MPI Broadcast Targeting a Fat-Tree Interconnect.

Hiroaki Morimoto, Khureltulga Dashdavaa, Keichi Takahashi, Yoshiyuki Kido, Susumu Date, Shinji Shimojo

2017 International Conference on High Performance Computing & Simulation (HPCS)　p. 252-258　2017　Research paper (international conference proceedings)

PFAnalyzer: A Toolset for Analyzing Application-Aware Dynamic Interconnects.

Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Shinji Shimojo

2017 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER)　p. 789-796　2017　Research paper (international conference proceedings)

Dynamic Reconfiguration of Computer Platforms at the Hardware Device Level for High Performance Computing Infrastructure as a Service.

Akihiro Misawa, Susumu Date, Keichi Takahashi, Takashi Yoshikawa, Masahiko Takahashi, Masaki Kan, Yasuhiro Watashiba, Yoshiyuki Kido, Chonho Lee, Shinji Shimojo

Cloud Computing and Service Science - 7th International Conference, CLOSER 2017, Porto, Portugal, April 24-26, 2017, Revised Selected Papers　p. 177-199　2017　Research paper (international conference proceedings)

Highly Reconfigurable Computing Platform for High Performance Computing Infrastructure as a Service: Hi-IaaS.

Akihiro Misawa, Susumu Date, Keichi Takahashi, Takashi Yoshikawa, Masahiko Takahashi, Masaki Kan, Yasuhiro Watashiba, Yoshiyuki Kido, Chonho Lee, Shinji Shimojo

CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science, Porto, Portugal, April 24-26, 2017.　p. 135-146　2017　Research paper (international conference proceedings)

MPI通信パターンに基づくSDN制御を高速化するカーネルモジュールの試作と評価

高橋慧智, Khureltulga Dashdavaa, 木戸善之, 伊達進, 下條真司

情報処理学会研究報告　Vol. 2016-OS-137　No. 13　2016/05　Research paper (other academic)

Network Access Control Towards Fully-Controlled Cloud Infrastructure.

Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date, Shinji Shimojo

2016 8TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM 2016)　p. 452-455　2016　Research paper (international conference proceedings)

Toward Flexible Supercomputing and Visualization System

Keichi Takahashi

Sustained Simulation Performance 2015　p. 77-93　2015　Research paper (scientific journal)

Design and implementation of control sequence generator for SDN-enhanced MPI.

Baatarsuren Munkhdorj, Keichi Takahashi, Dashdavaa Khureltulga, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo

Proceedings of NDM 2015: 5th International Workshop on Network-Aware Data Management - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis　p. 4-9　2015　Research paper (international conference proceedings)

MPI_Reduce algorithm for OpenFlow-enabled network.

Pisit Makpaisit, Kohei Ichikawa, Putchong Uthayopas, Susumu Date, Keichi Takahashi, Dashdavaa Khureltulga

2015 15TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT)　p. 261-264　2015　Research paper (international conference proceedings)

An Empirical Study of SDN-accelerated HPC Infrastructure for Scientific Research.

Susumu Date, Hirotake Abe, Dashdavaa Khureltulga, Keichi Takahashi, Yoshiyuki Kido, Yasuhiro Watashiba, Pongsakorn U.-Chupala, Kohei Ichikawa, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo

2015 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING RESEARCH AND INNOVATION (ICCCRI)　p. 89-96　2015　Research paper (international conference proceedings)

Concept and Design of SDN-Enhanced MPI Framework.

Keichi Takahashi, Dashdavaa Khureltulga, Baatarsuren Munkhdorj, Yoshiyuki Kido, Susumu Date, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo

2015 FOURTH EUROPEAN WORKSHOP ON SOFTWARE DEFINED NETWORKS - EWSDN 2015　p. 109-110　2015　Research paper (international conference proceedings)

Performance evaluation of SDN-enhanced MPI allreduce on a cluster system with fat-tree interconnect.

Keichi Takahashi, Dashdavaa Khureltulga, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo

2014 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS)　p. 784-792　2014　Research paper (international conference proceedings)