3 papers
cs.SE2024
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…
cs.PF2024
Performance Evaluation of CMOS Annealing with Support Vector Machine
Ryoga Fukuhara, Makoto Morishita, Takahiro Katagiri +3
In this paper, support vector machine (SVM) performance was assessed utilizing a quantum-inspired complementary metal-oxide semiconductor (CMOS) annealer. The primary focus during…
cs.PF2023
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…