VLDB 2026 Research / reviewers in the wild / expert
Akira Hirai
dblp:05/2622
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Performance Characterization of LLM Inference under Limited GPU Resources
Madoka Takato, Akira Hirai, Reika Kinoshita, Masahiro Miwa, Masato Oguchi |
COMPSAC | 2 |
| 2024 | Performance Analysis of Quantum Computer Simulators Across Different EnvironmentsabstractQuantum computers can achieve extremely fast computations for certain problems using quantum properties. Due to these factors, research and development in the field of quantum computers have been vigorously pursued. It is crucial to develop a quantum computer that operates accurately and, concurrently, create applications compatible with quantum computing. Quantum computer simulators are tools that represent the behavior of a quantum computer on classical computers, and they are highly conducive to the development of quantum applications that can run on actual quantum computers. On the other hand, quantum computer simulators run on classical computers, which are extremely slow compared to quantum computers. Therefore, it is desirable for the development of quantum applications to be able to fully utilize the computational resources on a classical computer and run at high speed. In this paper, we analyze the performance of the Qiskit Aer simulator, the Qulacs simulator, and mpiQulacs on various types of single servers. We then compare the performance of these quantum computer simulators across different computer environments. Nozomi Aoki, Masafumi Yamazaki, Akira Hirai, Mari Yamaoka, Naoto Fukumoto, Akihiko Kasagi, Masato Oguchi |
SERA | 3 |