Yoichi Shimomura

According to our database, Yoichi Shimomura authored at least 15 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient Pause Location Prediction Using Quantum Annealing Simulations and Machine Learning.

Michael R. Zielewski, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IEEE Access, 2023

Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer.

Keichi Takahashi, Soya Fujimoto, Satoru Nagase, Yoko Isobe, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

Proceedings of the High Performance Computing - 38th International Conference, 2023

Balancing exploitation and exploration in parallel Bayesian optimization under computing resource constraint.

Moto Satake, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Equivalence Checking of Code Transformation by Numerical and Symbolic Approaches.

Shunpei Sugawara, Keichi Takahashi, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

Towards Priority-Flexible Task Mapping for Heterogeneous Multi-core NUMA Systems.

Yifan Jin, Mulya Agung, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

A Task-Parallel Runtime for Heterogeneous Multi-node Vector Systems.

Kazuki Ide, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2022

Toward Building a Digital Twin of Job Scheduling and Power Management on an HPC System.

Tatsuyoshi Ohmura, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

Proceedings of the Job Scheduling Strategies for Parallel Processing, 2022

A Cost Model for Compilers Based on Transfer Learning.

Yuta Sasaki, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Automated selection of build configuration based on machine learning.

Reo Furuhata, Minglu Zhao, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

A Real-time Flood Inundation Prediction on SX-Aurora TSUBASA.

Yoichi Shimomura, Akihiro Musa, Yoshihiko Sato, Atsuhiko Konja, Guoqing Cui, Rei Aoyagi, Keichi Takahashi, Hiroyuki Takizawa

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021

Towards Conflict-Aware Workload Co-execution on SX-Aurora TSUBASA.

Riku Nunokawa, Yoichi Shimomura, Mulya Agung, Ryusuke Egawa, Hiroyuki Takizawa

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2021

Portability of Vectorization-aware Performance Tuning Expertise across System Generations.

Shunpei Sugawara, Yoichi Shimomura, Ryusuke Egawa, Hiroyuki Takizawa

Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

2020

Exploiting the Potentials of the Second Generation SX-Aurora TSUBASA.

Ryusuke Egawa, Souya Fujimoto, Tsuyoshi Yamashita, Daisuke Sasaki, Yoko Isobe, Yoichi Shimomura, Hiroyuki Takizawa

Proceedings of the 2020 IEEE/ACM Performance Modeling, 2020

2019

Performance Evaluation of Different Implementation Schemes of an Iterative Flow Solver on Modern Vector Machines.

Kenta Yamaguchi, Takashi Soga, Yoichi Shimomura, Thorsten Reimann, Kazuhiko Komatsu, Ryusuke Egawa, Akihiro Musa, Hiroyuki Takizawa, Hiroaki Kobayashi

Supercomput. Front. Innov., 2019

2008

First Experiences with NEC SX-9.

Hiroaki Kobayashi, Ryusuke Egawa, Hiroyuki Takizawa, Koki Okabe, Akihiko Musa, Takashi Soga, Yoichi Shimomura

Proceedings of the High Performance Computing on Vector Systems 2008, 2008