Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, and Hajimu
Iida, “Toward Automatic Parallelization: Detecting Parallelizable Loop using Large Language
Modeling,” Journal of Information Processing Systems, 2024. (to appear)
Michael Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa, “Efficient Pause
Location Prediction using Quantum Annealing Simulations and Machine Learning,” IEEE Access,
vol. 11, pp. 104285-104294, Sep. 2023.
10.1109/ACCESS.2023.3317698
Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao, “Scalable
Empirical Dynamic Modeling with Parallel Computing and Approximate k-NN Search,”
IEEE Access, vol. 11, pp. 68171–68183, Jun. 2023.
10.1109/ACCESS.2023.3289836
Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat
Nakasan, Kazufumi Yuasa, Tadatoshi Babasaki, Hajimu Iida, “Toward Predictive
Modeling of Solar Power Generation for Multiple Power Plants,” IEICE
Transactions on Communications, vol. E106-B, no. 7, July 2023.
10.1587/transcom.2022EBT0003
Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat
Nakasan, Pattara Leelaprute, Pree Thiengburanathum, Passakorn Phannachitta,
“The Convergence of Container and Traditional Virtualization: Strengths and
Limitations,” SN Computer Science, vol. 4, no. 387, May 2023.
10.1007/s42979-023-01827-9
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat
Nakasan, Hidemoto Nakada, Ryousei Takano, Pattara Leelaprute, Hajimu Iida,
“Automated Quantization and Retraining for Neural Network Models without
Labeled Data,” IEEE Access, vol. 10, pp. 73818-73834, Jul. 2022.
10.1109/ACCESS.2022.3190627
Wassapon Watanakeesuntorn, Keichi Takahashi, Chawanat Nakasan, Kohei
Ichikawa, Hajimu Iida, “Opimon: A Transparent, Low-overhead Monitoring
System for OpenFlow Networks,” IEICE Transactions on Communications,
vol. E105-B, no. 4, pp. 485-493, Apr. 2022.
10.1587/transcom.2021EBP3083
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, “A codesign framework for
online data analysis and reduction,” Concurrency and Computation: Practice
and Experience, vol. 34, no. 14, Aug. 2021. 10.1002/cpe.6519
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 KlaskyS, “ADIOS 2: The
Adaptable Input Output System. A framework for high-performance data
management,” SoftwareX, vol. 12, Jul. 2020.
10.1016/j.softx.2020.100561
Akihiro Misawa, Susumu Date, Keichi Takahashi, Takashi Yoshikawa,
Masahiko Takahashi, Masaki Kan, Yasuhiro Watashiba, Yoshiyuki Kido, Chonho
Lee, Shinji Shimojo, “Dynamic Reconfiguration of Computer Platforms at the
Hardware Device Level for High Performance Computing Infrastructure as a
Service,” Cloud Computing and Service Science, vol. 864, pp.177-199, Jul.
2018.
10.1007/978-3-319-94959-8_10
Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido,
Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo, “UnisonFlow: A
Software-Defined Coordination Mechanism for Message-Passing Communication
and Computation,” IEEE Access, vol. 6, no. 1, pp. 23372-23382, Apr. 2018.
10.1109/ACCESS.2018.2829532
Susumu Date, Hirotake Abe, Khureltulga Dashdavaa, Keichi Takahashi,
Yoshiyuki Kido, Yasuhiro Watashiba, Pongsakorn U-chupala, Kohei Ichikawa,
Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo, “SDN-accelerated HPC
Infrastructure for Scientific Research,” International Journal of
Information Technology, vol. 22, no. 01, 2016.
International Conference
Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura and Hiroyuki Takizawa, “XAI-Based
Feature Importance Analysis on Loop Optimization,” 19th International Workshop on Automatic
Performance Tuning (iWAPT), May 2024. (accepted)
Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura and Hiroyuki Takizawa, “Combining lossy
compression with multi-level caching for data staging over network,” 26th Workshop on Advances in
Parallel and Distributed Computational Models (APDCM), May 2024. (accepted)
Daiki Nakai, Keichi Takahashi, Yoichi Shimomura and Hiroyuki Takizawa, “A node selection
method for on-demand job execution with considering deadline constraints,” 27th Workshop on Job
Scheduling Strategies for Parallel Processing (JSSPP 2024), May 2024. (accepted)
Sho Ishii, Keichi Takahashi, Yoichi Shimomura and Hiroyuki Takizawa, “Maximizing Energy Budget
Utilization Based on Dynamic Power Cap Control,” 27th Workshop on Job Scheduling Strategies for
Parallel Processing (JSSPP 2024), May 2024. (accepted)
Hang Cui, Keichi Takahashi, Yoichi Shimomura and Hiroyuki Takizawa, “Clustering Based Job
Runtime Prediction for Backfilling Using Classification,” 27th Workshop on Job Scheduling
Strategies for Parallel Processing (JSSPP 2024), May 2024. (accepted)
Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, and Hajimu
Iida, “Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks,”
The Eleventh International Symposium on Computing and Networking (CANDAR 2023), Nov. 2023.
10.1109/CANDAR60563.2023.00017
Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa, “Prototype of a Batched Quantum Circuit
Simulator for the Vector Engine,” Fourth International Workshop on Quantum Computing Software
held in conjunction with SC23: The International Conference for High Performance Computing,
Networking, Storage, and Analysis, Nov. 2023.
10.1145/3624062.3624226slides
Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, and Hajimu
Iida, “Parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding,”
24th International Conference on Parallel and Distributed Computing, Applications and
Technologies (PDCAT 2023), Aug. 2023.
10.1007/978-981-99-8211-0_4
Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa,
“Balancing exploitation and exploration in parallel Bayesian optimization
under computing resource constraint,” The 18th International Workshop on
Automatic Performance Tuning (iWAPT 2023), May 2023.
10.1109/IPDPSW59300.2023.00122
Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi
Shimomura, Ryusuke Egawa, Hiroyuki Takizawa, “Performance Evaluation of a
Next-Generation SX-Aurora TSUBASA Vector Supercomputer,” ISC High
Performance 2023, May 2023. arXiv:2304.1192110.1007/978-3-031-32041-5_19slides
Yoichi Shimomura, Akihiro Musa, Yoshihiko Sato, Atsuhiko Konja, Guoqing Cui,
Rei Aoyagi, Keichi Takahashi, Hiroyuki Takizawa, “A Real-time Flood
Inundation Prediction on SX-Aurora TSUBASA,” 29th International Conference
on High Performance Computing, Data, and Analytics (HiPC), Dec. 2022.
10.1109/HiPC56025.2022.00035
Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki
Takizawa, “Towards Priority-Flexible Task Mapping for Heterogeneous
Multi-core NUMA Systems,” 23rd International Conference on Parallel and
Distributed Computing, Applications and Technologies (PDCAT 2022),
Dec. 2022. 10.1007/978-3-031-29927-8_1
Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki
Takizawa, “A Task-Parallel Runtime for Heterogeneous Multi-node Vector
Systems,” 23rd International Conference on Parallel and
Distributed Computing, Applications and Technologies (PDCAT 2022),
Dec. 2022. 10.1007/978-3-031-29927-8_26
Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa,
Hiroyuki Takizawa, “Equivalence Checking of Code Transformation by Numerical
and Symbolic Approaches,” 23rd International Conference on Parallel and
Distributed Computing, Applications and Technologies (PDCAT 2022),
Dec. 2022. 10.1007/978-3-031-29927-8_29
Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa, “A
Cost Model for Compilers Based on Transfer Learning,” The 17th International
Workshop on Automatic Performance Tuning (iWAPT 2022), Jun. 2022.
10.1109/IPDPSW55747.2022.00152
Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki
Takizawa, “Automated Selection of Build Configuration Based on Machine
Learning,” The 17th International Workshop on Automatic Performance Tuning
(iWAPT 2022), Jun. 2022.
10.1109/IPDPSW55747.2022.00151
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat
Nakasan, Pattara Leelaprute, Hajimu Iida, “Sparse Communication for
Federated Learning,” 6th IEEE International Conference on Fog and Edge
Computing (ICFEC 2022), May 2022.
10.1109/ICFEC54809.2022.00008
Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida,
“Acar: An application-aware network routing system using SRv6,”
19th Annual Consumer Communications & Networking Conference (CCNC),
Jan. 2022. 10.1109/CCNC49033.2022.9700608
Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat
Nakasan, Kazufumi Yuasa, Tadatoshi Babasaki, Hajimu Iida, “Enhancing the
Prediction Accuracy of Solar Power Generation using a Generative Adversarial
Network,” IEEE Green Energy and Smart Systems Conference (IGESSC 2021),
Nov. 2021. 10.1109/IGESSC53124.2021.9618702
Keichi Takahashi, Wassapon Watanakeesuntorn, Kohei Ichikawa, Joseph Park,
Ryousei Takano, Jason Haga, George Sugihara, Gerald M. Pao, “kEDM: A
Performance-portable Implementation of Empirical Dynamic Modeling using
Kokkos,” Practice & Experience in Advanced Research Computing (PEARC 2021),
Jul. 2021. arXiv:2105.1230110.1145/3437359.3465571
Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree
Thiengburanathum, Passakorn Phannachitta, “Comparative Performance Study
of Lightweight Hypervisors Used in Container Environment,” 11th
International Conference on Cloud Computing and Services Science (CLOSER
2021), Apr. 2021.
10.5220/0010440502150223
Wassapon Watanakeesuntorn, Keichi Takahashi, Kohei Ichikawa, Joseph Park,
George Sugihara, Ryousei Takano, Jason Haga, Gerald M. Pao, “Massively
Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution,”
26th International Conference on Parallel and Distributed Systems (ICPADS
2020), Dec. 2020. arXiv:2011.1108210.1109/ICPADS51040.2020.00035
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat
Nakasan, Hajimu Iida, “Federated Learning of Neural Network Models with
Heterogeneous Structures,” 19th International Conference on Machine
Learning and Applications (ICMLA 2020), Dec. 2020.
10.1109/ICMLA51294.2020.00120
Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong
Choi, Keichi Takahashi, Igor Yakushin, Todd Munson, Ian Foster, Scott
Klasky, “A Codesign Framework for Online Data Analysis and Reduction,”
Workflows in Support of Large-Scale Science (WORKS 2019), Nov. 2019.
10.1109/WORKS49585.2019.00007
Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat
Nakasan, Hajimu Iida, “Improving Resource Utilization in Data Centers using
an LSTM-based Prediction Model,” Workshop on Monitoring and Analysis for
High Performance Computing Systems Plus Applications (HPCMASPA 2019) (held
in conjunction with IEEE Cluster 2019), Sep. 2019.
10.1109/CLUSTER.2019.8891022
Yohei Takigawa, Keichi Takahashi, Susumu Date, Yoshiyuki Kido, Shinji
Shimojo, “A Traffic Simulator with Intra-node Parallelism for Designing
High-performance Interconnects,” The International Conference on High
Performance Computing & Simulation (HPCS 2018), Jul. 2018.
10.1109/HPCS.2018.00077
Hiroaki Morimoto, Khureltulga Dashdavaa, Keichi Takahashi, Yoshiyuki
Kido, Susumu Date, Shinji Shimojo, “Design and Implementation of
SDN-enhanced MPI Broadcast Targeting a Fat-tree Interconnect,” The
International Conference on High Performance Computing & Simulation (HPCS
2017), Jul. 2017. 10.1109/HPCS.2017.46
Keichi Takahashi, Khureltulga Dashdavaa, Susumu Date, Yoshiyuki Kido,
Shinji Shimojo, “PFAnalyzer: A Toolset for Analyzing Application-aware
Dynamic Interconnects,” Workshop on Monitoring and Analysis for High
Performance Computing Systems Plus Applications (HPCMASPA 2017) (held in
conjunction with IEEE Cluster 2017), Sep. 2017.
10.1109/CLUSTER.2017.18
Akihiro Misawa, Susumu Date, Keichi Takahashi, Takashi Yoshikawa,
Masahiko Takahashi, Masaki Kan, Yasuhiro Watashiba, Yoshiyuki Kido, Chonho
Lee, Shinji Shimojo, “Highly Reconfigurable Computing Platform for High
Performance Computing Infrastructure as a Service: Hi-IaaS,” The 7th
International Conference on Cloud Computing and Services Science (CLOSER
2017), Apr. 2017.
10.5220/0006302501630174
Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date, Shinji
Shimojo, “Network Access Control Towards Fully-controlled Cloud
Infrastructure,” PhD. Consortium, 8th IEEE International Conference on
Cloud Computing Technology and Science (CloudCom2016), Dec. 2016.
10.1109/CloudCom.2016.0076
Baatarsuren Munkhdorj, Keichi Takahashi, Khureltulga Dashdavaa, Yasuhiro
Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo, “Design and
Implementation of Control Sequence Generator for SDN-enhanced MPI,” The 5th
International Workshop on Network-aware Data Management (NDM’15),
Nov. 2015. 10.1145/2832099.2832103
Susumu Date, Hirotake Abe, Khureltulga Dashdavaa, Keichi Takahashi,
Yoshuyuki Kido, Yasuhiro Watashiba, Pongsakorn U-Chupala, Kohei Ichikawa,
Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo, “An Empirical Study of
SDN-accelerated HPC Infrastructure for Scientific Research,” International
Conference on Cloud Computing Research and Innovation (ICCCRI), Oct. 2015.
10.1109/ICCCRI.2015.13
Pisit Makpaisit, Kohei Ichikawa, Putchong Uthayopas, Susumu Date, Keichi
Takahashi, Khureltulga Dashdavaa, “An Efficient MPI_Reduce Algorithm for
OpenFlow-Enabled Network,” 15th International Symposium on Communications
and Information Technologies (ISCIT’15), Oct. 2015.
10.1109/ISCIT.2015.7458357
Keichi Takahashi, Khureltulga Dashdavaa, Baatarsuren Munkhdorj,
Yoshiyuki Kido, Susumu Date, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo,
“Concept and Design of SDN-enhanced MPI Framework,” The fourth edition of
the European Workshop on Software Defined Networks (EWSDN 2015), pp.
109-110, Sep. 2015.
10.1109/EWSDN.2015.72
Keichi Takahashi, Khureltulga Dashdavaa, Yasuhiro Watashiba, Yoshiyuki
Kido, Susumu Date, Shinji Shimojo, “Performance Evaluation of SDN-enhanced
MPI_Allreduce on a Cluster System with Fat-tree Interconnect,” The
International Conference on High Performance Computing and Simulations
(HPCS2014), Jul. 2014.
10.1109/HPCSim.2014.6903768
Book Chapter
Keichi Takahashi, Kohei Ichikawa, Gerald M. Pao, “Toward Scalable Empirical Dynamic Modeling,”
M. M. Resch et al. (eds.), Sustained Simulation Performance 2022, pp. 61-69, Springer, Mar. 2024.
10.1007/978-3-031-41073-4_5
Hiroyuki Takizawa, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Kenji Oizumi, Satoshi
Ono, Takeshi Yamashita, Atsuko Saito, “AOBA: The Most Powerful Vector Supercomputer in the World,”
M. M. Resch et al. (eds.), Sustained Simulation Performance 2022, pp. 61-69, Springer, Mar. 2024.
10.1007/978-3-031-41073-4_6Keichi Takahashi, Kohei Ichikawa, Gerald M. Pao, “Toward Scalable Empirical Dynamic Modeling,”
M. M. Resch et al. (eds.), Sustained Simulation Performance 2022, pp. 61-69, Springer, Mar. 2024.
10.1007/978-3-031-41073-4_5
Keichi Takahashi, Susumu Date, Yasuhiro Watashiba, Yoshiyuki Kido,
Shinji Shimojo “Integrating SDN-enhanced MPI with Job Scheduler to Support
Shared Clusters,” M. M. Resch et al. (eds.), Sustained Simulation
Performance 2018 and 2019, pp. 149-159, Springer, Mar. 2020.
10.1007/978-3-030-39181-2_13
Susumu Date, Yoshiyuki Kido, Khureltulga Dashdavaa, Keichi Takahashi,
Yasuhiro Watashiba, Shinji Shimojo, “Toward Flexible Supercomputing and
Visualization System,” M. M. Resch et al. (eds.), Sustained Simulation
Performance 2015, pp. 77-93, Springer, 2015.
10.1007/978-3-319-20340-9_7
Poster and Oral Presentation
Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki
Takizawa, “Task Mapping with Considering both Memory and Heterogeneity,”
IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 25),
Apr. 2022.
Seiji Tsutsumi, Naoyuki Fujita, Hiroyuki Ito, Daichi Obinata, Keisuke Inoue,
Yosuke Matsumura, Keichi Takahashi, Greg Eisenhauer, Norbert Podhorszki,
Scott Klasky, “In Situ and In Transit Visualization for Numerical
Simulations in HPC,” In Situ Infrastructures for Enabling Extreme-scale
Analysis and Visualization (ISAV 2019) (lightning presentation).
Wassapon Watanakeesuntorn, Kohei Ichikawa, Keichi Takahashi, Jason Haga,
Gerald Pao “Modeling of Complete Zebrafish Brain Neural Activities on
ABCI,” PRAGMA Workshop 37, Sep. 2019.
Vahid Daneshmand, Renato Figueiredo, Kohei Ichikawa, Keichi Takahashi,
Kundjanasith Thonglek, “Investigating the Performance and Scalability of
Kubernetes on Distributed Cluster of Resource-Constrained Edge Devices,”
PRAGMA Workshop 37, Sep. 2019.
Scott Klasky, Norbert Podhorszki, Jason Ruonan Wang, Susumu Date, Keichi
Takahashi, Osamu Tatebe, Taisuke Boku, “Enhancing ADIOS for extreme-scale
data movement,” DOE/MEXT meeting, May. 2019.
Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Chawanat
Nakasan, Hajimu Iida, “Towards Optimal Resource Utilization in Data Centers
using Long Short-Term Memory,” PRAGMA Workshop 36, Apr. 2019. (Best
Presentation Award)
Keichi Takahashi, “An MPI Framework for HPC Clusters Deployed with
Software-Defined Networking,” 27th Workshop on Sustained Simulation
Performance (WSSP27), Mar. 2018.
Keichi Takahashi, “Towards Realizing a Dynamic and MPI Application-aware
Interconnect with SDN,” 26th Workshop on Sustained Simulation Performance
(WSSP26), Oct. 2017.
Takuya Yamada, Keichi Takahashi, Masaya Muraki, Yoshiyuki Kido, Susumu Date,
Shimojo Shinji, “A Proposal of Access Control Mechanism for the IoT world,”
ASEAN IVO Meeting, Sep. 2016.
Takuya Yamada, Keichi Takahashi, Masaya Muraki, Yoshiyuki Kido, Susumu Date,
Shimojo Shinji, “A Proposal of Access Control Mechanism Towards
User-dedicated PRAGMA-ENT for IoT Era,” PRAGMA Workshop 31, Sep. 2016.
(2nd Place of Students Poster Award)
Khureltulga Dashdavaa, Munkhdorj Baatarsuren, Keichi Takahashi, Susumu
Date, Yoshiyuki Kido, Shinji Shimojo, “A MPI Concept with Efficient Control
of Network Functionality Based on SDN,” PRAGMA 29, Oct. 2015.
Keichi Takahashi, Baatarsuren Munkhdorj, Khureltulga Dashdavaa, Susumu
Date, Yoshiyuki Kido, Shinji Shimojo, “Control Sequence Generator for
Generic SDN-enhanced MPI Framework,” PRAGMA 28, Apr. 2015. (Lightning Talk
Best Idea Award)
Miscellaneous
Shinji Shimojo, Keichi Takahashi, “Study on Data Staging Technique for
Efficient Post-Processing in Large-Scale CFD Computation,” JAXA
Supercomputer System Annual Report, pp. 228-230, Sep. 2019.
JAXA-SP-19-003E
Keichi Takahashi, “Programmable Interconnect Control Adaptive to
Communication Pattern of Applications,” Doctoral Thesis, Graduate School of
Information Science and Technology, Osaka University, 2019.
10.18910/72595