Digital Railway Museum: An Approach to Introduction of Digital Exhibition Systems at the Railway Museum. - Takuji Narumi; Torahiko Kasai; Takumi Honda; Kunio Aoki; Tomohiro Tanikawa; Michitaka Hirose (HCI (15), 2013)

GPU-Accelerated Verification of the Collatz Conjecture. - Takumi Honda; Yasuaki Ito; Koji Nakano (ICA3PP (1), 2014)

A Warp-Synchronous Implementation for Multiple-Length Multiplication on the GPU. - Takumi Honda; Yasuaki Ito; Koji Nakano (CANDAR, 2015)

GPU-Accelerated Bulk Computation of the Eigenvalue Problem for Many Small Real Non-symmetric Matrices. - Hiroki Tokura; Takumi Honda; Yasuaki Ito; Koji Nakano; Mitsuya Nishino; Yushiro Hirota; Masami Saeki (CANDAR, 2016)

GPU-Accelerated Bulk Execution of Multiple-Length Multiplication with Warp-Synchronous Programming Technique. - Takumi Honda; Yasuaki Ito; Koji Nakano (IEICE Trans. Inf. Syst., 2016)

Simple and Fast Parallel Algorithms for the Voronoi Map and the Euclidean Distance Map, with GPU Implementations. - Takumi Honda; Shinnosuke Yamamoto; Hiroaki Honda; Koji Nakano; Yasuaki Ito (ICPP, 2017)

Accelerating digital halftoning using the local exhaustive search on the GPU. - Hiroaki Kouge; Takumi Honda; Toru Fujita; Yasuaki Ito; Koji Nakano; Jacir Luiz Bordim (Concurr. Comput. Pract. Exp., 2017)

GPU-accelerated Exhaustive Verification of the Collatz Conjecture. - Takumi Honda; Yasuaki Ito; Koji Nakano (Int. J. Netw. Comput., 2017)

An Efficient GPU Implementation of Bulk Computation of the Eigenvalue Problem for Many Small Real Non-symmetric Matrices. - Hiroki Tokura; Takumi Honda; Yasuaki Ito; Koji Nakano; Mitsuya Nishino; Yushiro Hirota; Masami Saeki (Int. J. Netw. Comput., 2017)

An Optimal Parallel Algorithm for Computing the Summed Area Table on the GPU. - Yutaro Emoto; Shunji Funasaka; Hiroki Tokura; Takumi Honda; Koji Nakano; Yasuaki Ito (IPDPS Workshops, 2018)

Yet Another Accelerated SGD: ResNet-50 Training on ImageNet in 74.7 seconds. - Masafumi Yamazaki; Akihiko Kasagi; Akihiro Tabuchi; Takumi Honda; Masahiro Miwa; Naoto Fukumoto; Tsuguchika Tabaru; Atsushi Ike; Kohta Nakashima (CoRR, 2019)

Visualization of Voids Between Tile and Concrete by Multi-Layered Scanning Method with Electromagnetic Waves. - Takumi Honda; Takayuki Tanaka; Satoru Doi; Shigeru Uchida; Maria Q. Feng (J. Robotics Mechatronics, 2019)

An Efficient Technique for Large Mini-batch Challenge of DNNs Training on Large Scale Cluster. - Akihiko Kasagi; Akihiro Tabuchi; Masafumi Yamazaki; Takumi Honda; Masahiro Miwa; Naoto Fukumoto; Tsuguchika Tabaru; Atsushi Ike; Kohta Nakashima (HPDC, 2020)

The 16, 384-node Parallelism of 3D-CNN Training on An Arm CPU based Supercomputer. - Akihiro Tabuchi; Koichi Shirahata; Masafumi Yamazaki; Akihiko Kasagi; Takumi Honda; Kouji Kurihara; Kentaro Kawakami; Tsuguchika Tabaru; Naoto Fukumoto; Akiyoshi Kuroda; Takaaki Fukai; Kento Sato (HiPC, 2021)

Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing. - Akihiko Kasagi; Masahiro Asaoka; Akihiro Tabuchi; Yosuke Oyama; Takumi Honda; Yasufumi Sakai; Thang Dang; Tsuguchika Tabaru (CANDAR, 2021)

MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (MLHPC@SC, 2021)

MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. - Steven Farrell; Murali Emani; Jacob Balma; Lukas Drescher; Aleksandr Drozd; Andreas Fink; Geoffrey C. Fox; David Kanter; Thorsten Kurth; Peter Mattson; Dawei Mu; Amit Ruhela; et al. (CoRR, 2021)

mpiQulacs: A Distributed Quantum Computer Simulator for A64FX-based Cluster Systems. - Satoshi Imamura; Masafumi Yamazaki; Takumi Honda; Akihiko Kasagi; Akihiro Tabuchi; Hiroshi Nakao; Naoto Fukumoto; Kohta Nakashima (CoRR, 2022)

A Binary Translator to Accelerate Development of Deep Learning Processing Library for AArch64 CPU. - Kentaro Kawakami; Kouji Kurihara; Masafumi Yamazaki; Takumi Honda; Naoto Fukumoto (IEICE Trans. Electron., 2022)

Accelerating Hybrid DFT Simulations Using Performance Modeling on Supercomputers. - Yosuke Oyama; Takumi Honda; Atsushi Ishikawa; Koichi Shirahata (CCGrid, 2023)

Experiments and Resource Analysis of Shor's Factorization Using a Quantum Simulator. - Junpei Yamaguchi; Masafumi Yamazaki; Akihiro Tabuchi; Takumi Honda; Tetsuya Izu; Noboru Kunihiro (ICISC (1), 2023)

mpiQulacs: A Scalable Distributed Quantum Computer Simulator for ARM-based Clusters. - Akihiro Tabuchi; Satoshi Imamura; Masafumi Yamazaki; Takumi Honda; Akihiko Kasagi; Hiroshi Nakao; Naoto Fukumoto; Kohta Nakashima (QCE, 2023)

Big Data Assimilation: Real-time 30-second-refresh Heavy Rain Forecast Using Fugaku During Tokyo Olympics and Paralympics. - Takemasa Miyoshi; Arata Amemiya; Shigenori Otsuka; Yasumitsu Maejima; James Taylor; Takumi Honda; Hirofumi Tomita; Seiya Nishizawa; Kenta Sueki; Tsuyoshi Yamaura; Yutaka Ishikawa; Shinsuke Satoh; et al. (SC, 2023)

Optimizing the number of scan layers in multi-layered scanning methods for detecting void sizes in concrete building tiles using electromagnetic waves. - Hussain Alsalem; Takayuki Tanaka; Takumi Honda; Shigeru Uchida; Wakuto Ono (SII, 2023)

Estimation of Shor's Circuit for 2048-bit Integers based on Quantum Simulator. - Junpei Yamaguchi; Masafumi Yamazaki; Akihiro Tabuchi; Takumi Honda; Tetsuya Izu; Noboru Kunihiro (IACR Cryptol. ePrint Arch., 2023)

Direct Quantized Training of Language Models with Stochastic Rounding. - Kaiyan Zhao; Tsuguchika Tabaru; Kenichi Kobayashi 001; Takumi Honda; Masafumi Yamazaki; Yoshimasa Tsuruoka (CoRR, 2024)

Lossy Compressed Collective Inter-FPGA Communications. - Michihiro Koibuchi; Yoshinobu Ishida; Shoichi Hirasawa; Yao Hu; Takumi Honda; Yusuke Nagasaka; Naoto Fukumoto (HPC Asia, 2025)

BLaST: High Performance Inference and Pretraining using BLock Sparse Transformers. - Patrik Okanovic; Sameer Deshmukh; Grzegorz Kwasniewski; Kentaro Katayama; Takumi Honda; Maciej Besta; Torsten Hoefler (CoRR, 2025)