| Fiber: A generalized framework for auto-tuning software T Katagiri, K Kise, H Honda, T Yuba International Symposium on High Performance Computing, 146-159, 2003 | 86 | 2003 |
| Parallel processing of matrix multiplication in a CPU and GPU heterogeneous environment S Ohshima, K Kise, T Katagiri, T Yuba International Conference on High Performance Computing for Computational …, 2006 | 85 | 2006 |
| A time-to-live based reservation algorithm on fully decentralized resource discovery in grid computing S Tangpongprasit, T Katagiri, K Kise, H Honda, T Yuba Parallel Computing 31 (6), 529-543, 2005 | 67 | 2005 |
| ABCLibScript: A directive to support specification of an auto-tuning facility for numerical software T Katagiri, K Kise, H Honda, T Yuba Parallel Computing 32 (1), 92-112, 2006 | 62 | 2006 |
| ABCLib_DRSSED: A parallel eigensolver with an auto-tuning facility T Katagiri, K Kise, H Honda, T Yuba Parallel Computing 32 (3), 231-250, 2006 | 42 | 2006 |
| Effect of auto-tuning with user's knowledge for numerical software T Katagiri, K Kise, H Honda, T Yuba Proceedings of the 1st conference on Computing frontiers, 12-25, 2004 | 40 | 2004 |
| Solving the 24-queens Problem using MPI on a PC Cluster K Kise, T Katagiri, H Honda, T Yuba Graduate School of Information Systems, The University of Electro …, 2004 | 28 | 2004 |
| An efficient implementation of parallel eigenvalue computation for massively parallel processing T Katagiri, Y Kanada Parallel Computing 27 (14), 1831-1845, 2001 | 28 | 2001 |
| From flops to bytes: disruptive change in high-performance computing towards the post-moore era S Matsuoka, H Amano, K Nakajima, K Inoue, T Kudoh, N Maruyama, ... Proceedings of the ACM international conference on computing frontiers, 274-281, 2016 | 23 | 2016 |
| Application of spectral proper orthogonal decomposition to velocity and passive scalar fields in a swirling coaxial jet PA Kadu, Y Sakai, Y Ito, K Iwano, M Sugino, T Katagiri, T Hayase, ... Physics of Fluids 32 (1), 2020 | 22 | 2020 |
| ppOpen-HPC: open source infrastructure for development and execution of large-scale scientific applications on post-peta-scale supercomputers with automatic tuning (AT) K Nakajima, M Satoh, T Furumura, H Okuda, T Iwashita, H Sakaguchi, ... Optimization in the Real World: Toward Solving Real-World Optimization …, 2015 | 22 | 2015 |
| Early experiences for adaptation of auto-tuning by ppOpen-AT to an explicit method T Katagiri, S Ito, S Ohshima 2013 IEEE 7th International Symposium on Embedded Multicore Socs, 153-158, 2013 | 21 | 2013 |
| Japanese autotuning research: Autotuning languages and FFT T Katagiri, D Takahashi Proceedings of the IEEE 106 (11), 2056-2067, 2018 | 20 | 2018 |
| Auto-tuning of computation kernels from an FDM Code with ppOpen-AT T Katagiri, S Ohshima, M Matsumoto 2014 IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, 91-98, 2014 | 20 | 2014 |
| Preconditioner auto-tuning using deep learning for sparse iterative algorithms K Yamada, T Katagiri, H Takizawa, K Minami, M Yokokawa, T Nagai, ... 2018 Sixth International Symposium on Computing and Networking Workshops …, 2018 | 19 | 2018 |
| Directive-based auto-tuning for the finite difference method on the Xeon Phi T Katagiri, S Ohshima, M Matsumoto 2015 IEEE International Parallel and Distributed Processing Symposium …, 2015 | 19 | 2015 |
| Knowledge discovery in auto-tuning parallel numerical library H Kuroda, T Katagiri, Y Kanada Progress in Discovery Science: Final Report of the Japanese Dicsovery …, 2002 | 19 | 2002 |
| Computational study on the thermal conductivity of a protein T Yamato, T Wang, W Sugiura, O Laprévote, T Katagiri The Journal of Physical Chemistry B 126 (16), 3029-3036, 2022 | 18 | 2022 |
| Auto-tuning on NUMA and many-core environments with an FDM code T Katagiri, S Ohshima, M Matsumoto 2017 IEEE International Parallel and Distributed Processing Symposium …, 2017 | 18 | 2017 |
| Implementation of D‐Spline‐Based Incremental Performance Parameter Estimation Method with ppOpen‐AT T Tanaka, R Otsuka, A Fujii, T Katagiri, T Imamura Scientific Programming 22 (4), 299-307, 2014 | 17 | 2014 |
Kise KenjiTokyo Institute of TechnologyVerified email at cs.titech.ac.jp
