10 citations · 13 across the 5 of their papers we have counts for
5 papers
Adaptation of XAI to Auto-tuning for Numerical Libraries
Shota Aoki, Takahiro Katagiri, Satoshi Ohshima +3
Concerns have arisen regarding the unregulated utilization of artificial intelligence (AI) outputs, potentially leading to various societal issues. While humans routinely validate…
Xabclib:A Fully Auto-tuned Sparse Iterative Solver
Takahiro Katagiri, Takao Sakurai, Mitsuyoshi Igai +5
In this paper, we propose a general application programming interface named OpenATLib for auto-tuning (AT). OpenATLib is designed to establish the reusability of AT functions. By u…
Autotuning by Changing Directives and Number of Threads in OpenMP using ppOpen-AT
Toma Sakurai, Satoshi Ohshima, Takahiro Katagiri +1
Recently, computers have diversified architectures. To achieve high numerical calculation software performance, it is necessary to tune the software according to the target compute…
Bayesian phase difference estimation algorithm for direct calculation of fine structure splitting: accelerated simulation of relativistic and quantum many-body effects
Kenji Sugisaki, V. S. Prasannaa, Satoshi Ohshima +4
Despite rapid progress in the development of quantum algorithms in quantum computing as well as numerical simulation methods in classical computing for atomic and molecular applica…
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa +30
The growing amount of data and advances in data science have created a need for a new kind of cloud platform that provides users with flexibility, strong security, and the ability…