Cyclic reconfiguration for pipelined applications on coarse-grain reconfigurable circuits. - Hisanori Fujisawa; Miyoshi Saito; Masaki Arai; Toshihiro Ozawa; Hideki Yoshizawa (FPT, 2004)

Using Machine Learning in Order to Improve Automatic SIMD Instruction Generation. - Antoine Trouvé; Arnaldo J. Cruz; Hiroki Fukuyama; Jun Maki; Hadrien A. Clarke; Kazuaki J. Murakami; Masaki Arai; Tadashi Nakahira; Eiji Yamanaka (ICCS, 2013)

Predicting Vectorization Profitability Using Binary Classification. - Antoine Trouvé; Arnaldo J. Cruz; Dhouha Ben Brahim; Hiroki Fukuyama; Kazuaki J. Murakami; Hadrien A. Clarke; Masaki Arai; Tadashi Nakahira; Eiji Yamanaka (IEICE Trans. Inf. Syst., 2014)

Guide Automatic Vectorization by means of Machine Learning: A Case Study of Tensor Contraction Kernels. - Antoine Trouvé; Arnaldo J. Cruz; Kazuaki J. Murakami; Masaki Arai; Tadashi Nakahira; Eiji Yamanaka (IEICE Trans. Inf. Syst., 2016)

Unobtrusive in-car measurement of physiological signals on the road. - Daniel Teichmann; Adrian Radomski; Masaki Arai; Koki Oshima; Naoki Ooneda; Akinori Ueno (EMBC, 2024)

Introducing software pipelining for the A64FX processor into LLVM. - Masaki Arai; Naoto Fukumoto; Hitoshi Murai (HPC Asia Workshops, 2024)