主要学術論文

Koji Nakano, Daisuke Takafuji, Yasuaki Ito, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki and Rie Mori, Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs. IPDPS Workshops 2021: 314-325 (PDF)

Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki, Rie Mori: A benchmark QUBO problem inspired by digital halftoning based on the human visual system. CANDAR 2022: 56-65 (DOI,PDF)

Koji Nakano, Shotaro Aoki, Yasuaki Ito, Akihiko Kasagi: On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning. IPDPS Workshops 2021: 656-665 (DOI,PDF)

Tomohiro Imanaga, Koji Nakano, Masaki Tao, Ryota Yasudo, Yasuaki Ito, Yuya Kawamata, Ryota Katsuki, Yusuke Tabata, Takashi Yazane, Kenichiro Hamano: Efficient GPU Implementation for Solving the Maximum Independent Set Problem. CANDAR 2020: 29-38(DOI,PDF)

Naoya Yamamoto, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Akihiko Kasagi, Tsuguchika Tabaru: Huffman Coding with Gap Arrays for GPU Acceleration. ICPP 2020: 1:1-1:11 (DOI,PDF,GitHub)

Ryota Yasudo, Koji Nakano, Yasuaki Ito, Masaru Tatekawa, Ryota Katsuki, Takashi Yazane, Yoko Inaba: Adaptive Bulk Search: Solving Quadratic Unconstrained Binary Optimization Problems on Multiple GPUs. ICPP 2020: 62:1-62:11 (DOI,PDF)

Hiroki Kataoka, Kohei Yamashita, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru: An Efficient Multicore CPU Implementation for Convolution-Pooling Computation in CNNs. IPDPS Workshops 2020: 548-556 (DOI)

Masaki Tao, Koji Nakano, Yasuaki Ito, Ryota Yasudo, Masaru Tatekawa, Ryota Katsuki, Takashi Yazane, Yoko Inaba: A Work-Time Optimal Parallel Exhaustive Search Algorithm for the QUBO and the Ising model, with GPU implementation. IPDPS Workshops 2020: 557-566 (DOI,PDF)

Masatoshi Hayashikawa, Koji Nakano, Yasuaki Ito, Ryota Yasudo: Folded Bloom Filter for High Bandwidth Memory, with GPU Implementations. CANDAR 2019: 18-27 (DOI,PDF)

Koji Nakano 1, Shunsuke Tsukiyama, Yasuaki Ito, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, andRyota Katsuki: Dual-Matrix Domain Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes, Technologies 2023, 11(5), 143 (2023), (DOI)

Hiroshi Kagawa, Yasuaki Ito, Koji Nakano, Ryota Yasudo, Yuya Kawamata, Ryota Katsuki, Yusuke Tabata, Takashi Yazane, Kenichiro Hamano: High-throughput FPGA implementation for quadratic unconstrained binary optimization. Concurr. Comput. Pract. Exp. 35(14) (2023) , (DOI) 

Tomohiro Imanaga,Koji Nakano,Ryota Yasudo,Yasuaki Ito,Yuya Kawamata,Ryota Katsuki,Yusuke Tabata,Takashi Yazane,Kenichiro Hamano: Simple iterative trial search for the maximum independent set problem optimized for the GPUs,  Concurr. Comput. Pract. Exp.  35(14) (2023) (DOI,PDF)

Ryota Yasudo, Koji Nakano, Yasuaki Ito, Ryota Katsuki, Yusuke Tabata, Takashi Yazane, Kenichiro Hamano: GPU-accelerated scalable solver with bit permutated cyclic-min algorithm for quadratic unconstrained binary optimization. J. Parallel Distributed Comput. 167: 109-122 (2022) (DOI)

Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru: Efficient convolution pooling on the GPU. J. Parallel Distributed Comput. 138: 222-229 (2020) (DOI,PDF)

Kohei Yamashita, Yasuaki Ito, Koji Nakano: Bulk execution of the dynamic programming for the optimal polygon triangulation problem on the GPU. Concurr. Comput. Pract. Exp. 31(19) (2019) (DOI)

Takahiro Nishimura, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano: Accelerating the Smith-Waterman Algorithm Using the Bitwise Parallel Bulk Computation Technique on the GPU. IEICE Trans. Inf. Syst. 102-D(12): 2400-2408 (2019) (DOI)

Ryota Yasudo, Michihiro Koibuchi, Koji Nakano, Hiroki Matsutani, Hideharu Amano: Designing High-Performance Interconnection Networks with Host-Switch Graphs. IEEE Trans. Parallel Distrib. Syst. 30(2): 315-330 (2019) (DOI)