Keichi Takahashi

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 40

Top Topics

High Performance Computing

Computing Infrastructure

Causal Inference

Top Venues

IPDPS Workshops

Publications

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) (2024)
Toshinobu Katayama, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
XAI-Based Feature Importance Analysis on Loop Optimization. IPDPS (Workshops) (2024)
Rei Aoyagi, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
Combining Lossy Compression with Multi-Level Caching for Data Staging over Network. IPDPS (Workshops) (2024)
Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint. IPDPS Workshops (2023)
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) (2023)
Xingyuan Kang, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida
Multi-Objective Optimization of Controller Placement in Distributed ONOS Networks. candar (2023)
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)
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) (2023)
Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao
Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search. IEEE Access 11 (2023)
Michael R. Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning. IEEE Access 11 (2023)
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 (2023)
Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa
Prototype of a Batched Quantum Circuit Simulator for the Vector Engine. SC Workshops (2023)
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute, Hajimu Iida
Sparse Communication for Federated Learning. ICFEC (2022)
Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa
Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches. PDCAT (2022)
Wassapon Watanakeesuntorn, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida
Opimon: A Transparent, Low-Overhead Monitoring System for OpenFlow Networks. IEICE Trans. Commun. (4) (2022)
Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
A Cost Model for Compilers Based on Transfer Learning. IPDPS Workshops (2022)
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)
Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems. PDCAT (2022)
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 (2022)
Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
Automated selection of build configuration based on machine learning. IPDPS Workshops (2022)
Tomoki Sugiura, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida
Acar: An application-aware network routing system using SRv6. CCNC (2022)
Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa
A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems. PDCAT (2022)
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)
Guoqing Li, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Pree Thiengburanathum, Passakorn Phannachitta
Comparative Performance Study of Lightweight Hypervisors Used in Container Environment. CLOSER (2021)
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 (2021)
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)
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 (2020)
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)
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano, Hajimu Iida
Retraining Quantized Neural Network Models with Unlabeled Data. IJCNN (2020)
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Hajimu Iida, Chawanat Nakasan
Federated Learning of Neural Network Models with Heterogeneous Structures. ICMLA (2020)
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 (2020)
Kundjanasith Thonglek, Kohei Ichikawa, Keichi Takahashi, Hajimu Iida, Chawanat Nakasan
Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model. CLUSTER (2019)
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)
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 (2018)
Yohei Takigawa, Keichi Takahashi, Susumu Date, Yoshiyuki Kido, Shinji Shimojo
A Traffic Simulator with Intra-node Parallelism for Designing High-performance Interconnects. HPCS (2018)
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)
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)
Keichi Takahashi, Susumu Date, Dashdavaa Khureltulga, Yoshiyuki Kido, Shinji Shimojo
PFAnalyzer: A Toolset for Analyzing Application-Aware Dynamic Interconnects. CLUSTER (2017)
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)
Takuya Yamada, Keichi Takahashi, Masaya Muraki, Susumu Date, Shinji Shimojo
Network Access Control Towards Fully-Controlled Cloud Infrastructure. CloudCom (2016)
Pisit Makpaisit, Kohei Ichikawa, Putchong Uthayopas, Susumu Date, Keichi Takahashi, Dashdavaa Khureltulga
MPI_Reduce algorithm for OpenFlow-enabled network. ISCIT (2015)
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)
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)
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)
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)