publications

2023

1. PhD Thesis

   Compiler Optimization for GPU Based on Code Motion

   Junji Fukuhara

   Tokyo University of Science, 2023

   My PhD thesis is available online. It is written in English except for the first page.

   Bib HTML

   @phdthesis{phd_thesis,
     author = {Fukuhara, Junji},
     title = {Compiler Optimization for GPU Based on Code Motion},
     year = {2023},
     school = {Tokyo University of Science},
     doi = {10.20604/00003834},
     note = {My PhD thesis is available online. It is written in English except for the first page.}
   }

2. IHIET-AI2023

   Efficient Inductive Logic Programming based on Predictive A*-like Algorithm

   Moeko Okawara, Junji Fukuhara, Munehiro Takimoto, and 2 more authors

   In Proceedings of the 9th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence and Future Applications (IHIET-AI 2023), 2023

   Bib HTML

   @inproceedings{okawara_ihier-ai2023,
     author = {Okawara, Moeko and Fukuhara, Junji and Takimoto, Munehiro and Kumazawa, Tsutomu and Kambayashi, Yasushi},
     title = {Efficient Inductive Logic Programming based on Predictive A*-like Algorithm},
     year = {2023},
     publisher = {AHFE Open Access},
     doi = {10.54941/ahfe1002934},
     booktitle = {Proceedings of the 9th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence and Future Applications (IHIET-AI 2023)},
     pages = {99-107},
     volume = {70},
   }

2022

1. LCTES2022

   Automated Kernel Fusion for GPU Based on Code Motion

   Junji Fukuhara, and Munehiro Takimoto

   In Proceedings of the 23rd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2022), 2022

   Bib HTML

   @inproceedings{10.1145/3519941.3535078,
     author = {Fukuhara, Junji and Takimoto, Munehiro},
     title = {Automated Kernel Fusion for GPU Based on Code Motion},
     year = {2022},
     isbn = {9781450392662},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3519941.3535078},
     doi = {10.1145/3519941.3535078},
     booktitle = {Proceedings of the 23rd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2022)},
     pages = {151-161},
     numpages = {11},
     location = {San Diego, CA, USA},
     series = {LCTES 2022},
   }

2. JIP

   Scalar Replacement Considering Branch Divergence

   Junji Fukuhara, and Munehiro Takimoto

   Journal of Information Processing (JIP), 2022

   Bib HTML

   @article{Junji Fukuhara2022,
     title = {Scalar Replacement Considering Branch Divergence},
     author = {Fukuhara, Junji and Takimoto, Munehiro},
     journal = {Journal of Information Processing (JIP)},
     volume = {30},
     number = { },
     pages = {164-178},
     year = {2022},
     doi = {10.2197/ipsjjip.30.164},
   }

2020

1. JIP

   Branch Divergence Reduction Based on Code Motion

   Junji Fukuhara, and Munehiro Takimoto

   Journal of Information Processing (JIP), 2020

   Bib HTML

   @article{Junji Fukuhara2020,
     title = {Branch Divergence Reduction Based on Code Motion},
     author = {Fukuhara, Junji and Takimoto, Munehiro},
     journal = {Journal of Information Processing (JIP)},
     volume = {28},
     number = { },
     pages = {302-309},
     year = {2020},
     doi = {10.2197/ipsjjip.28.302},
   }