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2020 – today
- 2024
[j10]Jiaheng Liu, Ryusuke Egawa, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems. IEICE Electron. Express 21(4): 20230520 (2024)- [c34]Soratouch Pornmaneerattanatri, Keichi Takahashi, Yutaro Kashiwa, Kohei Ichikawa, Hajimu Iida:
Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives. CLUSTER Workshops 2024: 127-135 - [c33]Keichi Takahashi, Takashi Abe, Akihiro Musa, Yoshihiko Sato, Yoichi Shimomura, Hiroyuki Takizawa, Shunichi Koshimura:
Modernizing an Operational Real-Time Tsunami Simulator to Support Diverse Hardware Platforms. CLUSTER 2024: 414-425 - [c32]Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Combining Lossy Compression with Multi-Level Caching for Data Staging over Network. IPDPS (Workshops) 2024: 212-221 - [c31]Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
XAI-Based Feature Importance Analysis on Loop Optimization. IPDPS (Workshops) 2024: 782-791 - [i5]Keichi Takahashi, Takashi Abe, Akihiro Musa, Yoshihiko Sato, Yoichi Shimomura, Hiroyuki Takizawa, Shunichi Koshimura:
Modernizing an Operational Real-time Tsunami Simulator to Support Diverse Hardware Platforms. CoRR abs/2408.07609 (2024) - [i4]Shubham, Keichi Takahashi, Hiroyuki Takizawa:
Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers. CoRR abs/2410.18126 (2024) - 2023
- [j9]Keichi Takahashi
, Kohei Ichikawa, Joseph Park, Gerald M. Pao:
Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search. IEEE Access 11: 68171-68183 (2023) - [j8]Michael R. Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning. IEEE Access 11: 104285-104294 (2023) - [j7]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 Trans. Commun. 106(7): 547-556 (2023) - [j6]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 Comput. Sci. 4(4): 387 (2023) - [c30]Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida:
Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks. candar 2023: 76-85 - [c29]Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint. IPDPS Workshops 2023: 706-713 - [c28]Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa:
Prototype of a Batched Quantum Circuit Simulator for the Vector Engine. SC Workshops 2023: 1499-1505 - [c27]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 2023: 359-378 - [i3]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. CoRR abs/2304.11921 (2023) - 2022
- [j5]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 10: 73818-73834 (2022) - [j4]Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky:
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34(14) (2022) - [j3]Wassapon Watanakeesuntorn, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida:
Opimon: A Transparent, Low-Overhead Monitoring System for OpenFlow Networks. IEICE Trans. Commun. 105-B(4): 485-493 (2022) - [c26]Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida:
Acar: An application-aware network routing system using SRv6. CCNC 2022: 751-752 - [c25]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. HIPC 2022: 192-197 - [c24]Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute, Hajimu Iida:
Sparse Communication for Federated Learning. ICFEC 2022: 1-8 - [c23]Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Automated selection of build configuration based on machine learning. IPDPS Workshops 2022: 934-941 - [c22]Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
A Cost Model for Compilers Based on Transfer Learning. IPDPS Workshops 2022: 942-951 - [c21]Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems. PDCAT 2022: 3-15 - [c20]Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa:
A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems. PDCAT 2022: 331-343 - [c19]Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa:
Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches. PDCAT 2022: 373-386 - 2021
- [c18]Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta:
Comparative Performance Study of Lightweight Hypervisors Used in Container Environment. CLOSER 2021: 215-223 - [c17]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. PEARC 2021: 8:1-8:8 - [i2]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. CoRR abs/2105.12301 (2021) - 2020
- [j2]William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, 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:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - [c16]Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan:
Federated Learning of Neural Network Models with Heterogeneous Structures. ICMLA 2020: 735-740 - [c15]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. ICPADS 2020: 196-205 - [c14]Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida:
Retraining Quantized Neural Network Models with Unlabeled Data. IJCNN 2020: 1-8 - [i1]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. CoRR abs/2011.11082 (2020)
2010 – 2019
- 2019
- [c13]Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, Chawanat Nakasan:
Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. CLUSTER 2019: 1-8 - [c12]Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson:
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC 2019: 11-20 - 2018
- [j1]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 6: 23372-23382 (2018) - [c11]Yohei Takigawa, Keichi Takahashi, Susumu Date, Yoshiyuki Kido, Shinji Shimojo:
A Traffic Simulator with Intra-node Parallelism for Designing High-performance Interconnects. HPCS 2018: 445-451 - 2017
- [c10]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. CLOSER 2017: 135-146 - [c9]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. CLOSER (Selected Papers) 2017: 177-199 - [c8]Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Shinji Shimojo:
PFAnalyzer: A Toolset for Analyzing Application-Aware Dynamic Interconnects. CLUSTER 2017: 789-796 - [c7]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. HPCS 2017: 252-258 - 2016
- [c6]Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date, Shinji Shimojo:
Network Access Control Towards Fully-Controlled Cloud Infrastructure. CloudCom 2016: 452-455 - 2015
- [c5]Keichi Takahashi, Dashdavaa Khureltulga, Baatarsuren Munkhdorj, Yoshiyuki Kido, Susumu Date, Hiroaki Yamanaka, Eiji Kawai, Shinji Shimojo:
Concept and Design of SDN-Enhanced MPI Framework. EWSDN 2015: 109-110 - [c4]Susumu Date, Hirotake Abe, Dashdavaa Khureltulga, Keichi Takahashi, Yoshiyuki 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. ICCCRI 2015: 89-96 - [c3]Pisit Makpaisit, Kohei Ichikawa, Putchong Uthayopas, Susumu Date, Keichi Takahashi, Dashdavaa Khureltulga:
MPI_Reduce algorithm for OpenFlow-enabled network. ISCIT 2015: 261-264 - [c2]Baatarsuren Munkhdorj, Keichi Takahashi, Dashdavaa Khureltulga, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo:
Design and implementation of control sequence generator for SDN-enhanced MPI. NDM@SC 2015: 4:1-4:9 - 2014
- [c1]Keichi Takahashi, Dashdavaa Khureltulga, Yasuhiro Watashiba, Yoshiyuki Kido, Susumu Date, Shinji Shimojo:
Performance evaluation of SDN-enhanced MPI allreduce on a cluster system with fat-tree interconnect. HPCS 2014: 784-792
Coauthor Index
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last updated on 2024-11-28 21:23 CET by the dblp team
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