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Research
Quantum-HPC Hybrid Platform Division
Quantum-HPC Hybrid Software Environment Unit
Quantum-HPC Hybrid Software Environment Unit
Japanese
Unit Leader Miwako Tsuji
miwako.tsuji[at]riken.jp (Lab location: Kobe)- Please change [at] to @
- 2024
- Unit Leader, Quantum-HPC Hybrid Software Environment Unit, Quantum-HPC Hybrid Platform Division, R-CCS, RIKEN (-present)
- 2013
- Research Scientist, AICS (renamed R-CCS in 2018), RIKEN
- 2012
- Researcher, Université de Versailles Saint-Quentin-en-Yvelines
- 2009
- Researcher, Center for Computational Sciences, University of Tsukuba
- 2008
- Researcher, The Institute for Solid State Physics, The University of Tokyo
- 2007
- Researcher, Information Initiative Center, Hokkaido University
- 2007
- PhD, Graduate School of Information Science and Technology, Hokkaido University
Keyword
- Quantum Computing
- Quantum HPC Hybrid Computing
- Quantum HPC Hybrid Programming Model
- High Performance Computing
- Supercomputing
Research summary
Research and development of software stacks for quantum-HPC hybrid computing platform including quantum HPC hybrid programming language/model, system software are conducted to highly integrate quantum computing with supercomputers such as Fugaku.
Main research results
The basic design of the quantum HPC collaboration platform was performed.
Representative papers
-
Sahel Ashhab, Fumiki Yoshihara, Miwako Tsuji, Mitsuhisa Sato and Kouichi Semba,
"Quantum circuit synthesis via a random combinatorial search",
Physical Review A, 109 (5), pp. 052605, American Physical Society, 2024 -
Maxence Vandromme, Nicolas Hochart, Serge G. Petiton, Jerome Gurhem, Miwako Tsuji, Mitsuhisa Sato,
"Sequences of Distributed Matrix-Vector Product for Very Large and Very Sparse Irregular Matrices",
In Proceedings of the SC '24 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2024 -
Yutaka Watanabe, Miwako Tsuji, Hitoshi Murai, Taisuke Boku and Mitsuhisa Sato,
"Design and performance evaluation of UCX for the Tofu Interconnect D on Fugaku towards efficient multithreaded communication",
The Journal of Supercomputing, 80 (14), pp. 20715.20742, Springer, 2024 -
Lorenzo Canonne, Bilel Derbel, Miwako Tsuji and Mitsuhisa Sato,
"Large-scale and Cooperative Graybox Parallel Optimization on the Supercomputer Fugaku",
Journal of Parallel and Distributed Computing, 191, pp. 104921, Academic Press, 2024 -
Zineb Ziani, Nahid Emad, Miwako Tsuji and Mitsuhisa Sato,
"Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study",
In Proceedings of 24th International Conference on Computational Science (ICCS 2024) LNCS14838, pp. 352.366, Springer, 2024 -
Sara Moukir, Miwako Tsuji, Nahid Emad, Mitsuhisa Sato and Stephane Baudelocq,
"Advancements in Traffic Simulations with multiMATSim’s Distributed Framework",
In Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART), 1, pp. 374.385, SciTePress, 2024 -
Romain Pereiran, Adrien Roussel, Miwako Tsuji, Patrick Carribault, Mitsuhisa Sato, Hitoshi Murai and Thierry Gautier,
"An Overview on Mixing MPI and OpenMP Dependent Tasking on A64FX",
In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia2024) Workshops, pp. 7.16, ACM, 2024 -
Mitsuhisa Sato and Miwako Tsuji.
OpenACC execution models for manycore processor with ARM.
In Proceedings of HPCAsia ’23 Workshops: Proceedings of the HPCAsia 2023 Workshops, pp. 73.77. ACM, 2023. -
Miwako Tsuji, Misun Min, Stefan Kerkemeier, Paul Fischer, Elia Merzari, and Mitsuhisa Sato.
Performance tuning of the Helmholtz matrix-vector product kernel in the computational fluid dynamics solver Nek5000/RS for the A64FX processor.
In HPCAsia 2022 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops, pp. 49-59. ACM, 2022. -
Miwako Tsuji and Mitsuhisa Sato.
Performance analysis of a state vector quantum circuit simulation on A64FX processor.
In 2022 IEEE International Conference on Cluster Computing (CLUSTER) Workshop on EAHPC-2022 - Embracing ARM: a journey of porting and optimization to the latest ARM-based processors, pp. 563-572. IEEE, 2022.
