| Multiscale universal interface: a concurrent framework for coupling heterogeneous solvers YH Tang, S Kudo, X Bian, Z Li, GE Karniadakis Journal of Computational Physics 297, 13-31, 2015 | 87 | 2015 |
| A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations H Yashiro, K Terasaki, Y Kawai, S Kudo, T Miyoshi, T Imamura, K Minami, ... SC20: International Conference for High Performance Computing, Networking …, 2020 | 30 | 2020 |
| MLPerf™ HPC: A holistic benchmark suite for scientific machine learning on HPC systems S Farrell, M Emani, J Balma, L Drescher, A Drozd, A Fink, G Fox, D Kanter, ... 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2021 | 28 | 2021 |
| Implementation and numerical techniques for one EFlop/s HPL-AI benchmark on Fugaku S Kudo, K Nitadori, T Ina, T Imamura 2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for …, 2020 | 28 | 2020 |
| Attitudes toward long-acting injectable antipsychotics among patients with schizophrenia in Japan N Sugawara, S Kudo, M Ishioka, Y Sato, K Kubo, N Yasui-Furukori Neuropsychiatric Disease and Treatment, 205-211, 2019 | 27 | 2019 |
| Prompt report on Exa-scale HPL-AI benchmark S Kudo, K Nitadori, T Ina, T Imamura 2020 IEEE International Conference on Cluster Computing (CLUSTER), 418-419, 2020 | 22 | 2020 |
| Convergence analysis of the parallel classical block Jacobi method for the symmetric eigenvalue problem Y Yamamoto, Z Lan, S Kudo JSIAM Letters 6, 57-60, 2014 | 22 | 2014 |
| Hyperprolactinemia during antipsychotics treatment increases the level of coagulation markers M Ishioka, N Yasui-Furukori, N Sugawara, H Furukori, S Kudo, ... Neuropsychiatric Disease and Treatment, 477-484, 2015 | 18 | 2015 |
| Performance analysis and optimization of the parallel one‐sided block Jacobi SVD algorithm with dynamic ordering and variable blocking S Kudo, Y Yamamoto, M Bečka, M Vajtersic Concurrency and Computation: Practice and Experience 29 (9), e4059, 2017 | 10 | 2017 |
| Performance of the parallel block Jacobi method with dynamic ordering for the symmetric eigenvalue problem S Kudo, K Yasuda, Y Yamamoto JSIAM Letters 10, 41-44, 2018 | 9 | 2018 |
| Attitudes toward placebo-controlled clinical trials of patients with schizophrenia in Japan N Sugawara, M Ishioka, S Tsuchimine, K Tsuruga, Y Sato, H Furukori, ... PloS one 10 (11), e0143356, 2015 | 7 | 2015 |
| Attitudes toward placebo-controlled clinical trials among depressed patients in Japan N Sugawara, M Ishioka, S Tsuchimine, K Tsuruga, Y Sato, N Tarakita, ... Journal of affective disorders 225, 313-316, 2018 | 6 | 2018 |
| The NICAM 3.5 km-1024 ensemble simulation: Performance optimization and scalability of NICAM-LETKF on supercomputer Fugaku H Yashiro, K Terasaki, Y Kawai, S Kudo, T Miyoshi, T Imamura, K Minami, ... EGU General Assembly Conference Abstracts, EGU21-4771, 2021 | 5 | 2021 |
| Cache-efficient implementation and batching of tridiagonalization on manycore CPUs S Kudo, T Imamura Proceedings of the International Conference on High Performance Computing in …, 2019 | 3 | 2019 |
| Probabilistic analysis of an estimator for the Frobenius norm of a matrix product Y Yamamoto, S Kudo JSIAM Letters 9, 9-12, 2017 | 3 | 2017 |
| Performance of the parallel one-sided block Jacobi SVD algorithm on a modern distributed-memory parallel computer S Kudo, Y Yamamoto, M Bečka, M Vajteršic Parallel Processing and Applied Mathematics: 11th International Conference …, 2016 | 3 | 2016 |
| A review and taxonomy of business-IT alignment research S Kudo, K Yasuda International Journal of Japan Association for Management Systems 1 (1), 39-45, 2009 | 3 | 2009 |
| Error analysis of the truncated Taylor series expansion method for computing matrix exponential Y Yamamoto, S Kudo, T Hoshi JSIAM Letters 14, 147-150, 2022 | 2 | 2022 |
| Parallel One-Sided Block Jacobi SVD Algorithm with Dynamic Ordering and Variable Blocking: Performance Analysis and Optimization S Kudo, Y Yamamoto, M Becka, M Vajteršic Computer Science, University of Salzburg, Salzburg, Austria, Tech. Rep 2, 2016 | 2 | 2016 |
| Automatic performance tuning using the ATMathCoreLib tool: Two experimental studies related to dense symmetric eigensolvers M Kobayashi, Y Hirota, S Kudo, T Hoshi, Y Yamamoto Concurrency and Computation: Practice and Experience 36 (10), e7849, 2024 | 1 | 2024 |
