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Takashi Yazane
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2020 – today
- 2024
- [j5]Xiaotian Li, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, Ryota Katsuki:
Bit duplication technique to generate hard quadratic unconstrained binary optimization problems with adjustable sizes. Concurr. Comput. Pract. Exp. 36(10) (2024) - 2023
- [j4]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) - [j3]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) - [c11]Shunsuke Tsukiyama, Koji Nakano, Yasuaki Ito, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, Ryota Katsuki:
Solving the N-Queens Puzzle by a QUBO Model with Quadratic Size. candar 2023: 59-67 - [c10]Koji Nakano, Daisuke Takafuji, Yasuaki Ito, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki, Rie Mori:
Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs. IPDPS Workshops 2023: 314-325 - [i2]Koji Nakano, Shunsuke Tsukiyama, Yasuaki Ito, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, Ryota Katsuki:
Dual-Matrix Domain-Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes. CoRR abs/2308.01024 (2023) - 2022
- [j2]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) - [c9]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 - [c8]Xiaotian Li, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki, Rie Mori:
Bit duplication technique to generate hard QUBO problems. CANDARW 2022: 180-184 - [c7]Ryota Yasudo, Koji Nakano, Yasuaki Ito, Yuya Kawamata, Ryota Katsuki, Shiro Ozaki, Takashi Yazane, Kenichiro Hamano:
Graph-theoretic Formulation of QUBO for Scalable Local Search on GPUs. IPDPS Workshops 2022: 425-434 - [i1]Koji Nakano, Daisuke Takafuji, Yasuaki Ito, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki, Rie Mori:
Diverse Adaptive Bulk Search: a Framework for Solving QUBO Problems on Multiple GPUs. CoRR abs/2207.03069 (2022) - 2021
- [c6]Tomohiro Imanaga, Koji Nakano, Ryota Yasudo, Yasuaki Ito, Yuya Kawamata, Ryota Katsuki, Shiro Ozaki, Takashi Yazane, Kenichiro Hamano:
Solving the sparse QUBO on multiple GPUs for Simulating a Quantum Annealer. CANDAR 2021: 19-28 - 2020
- [c5]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 - [c4]Hiroshi Kagawa, Yasuaki Ito, Koji Nakano, Ryota Yasudo, Yuya Kawamata, Ryota Katsuki, Yusuke Tabata, Takashi Yazane, Kenichiro Hamano:
Fully-Pipelined Architecture for Simulated Annealing-based QUBO Solver on the FPGA. CANDAR 2020: 39-48 - [c3]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 - [c2]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
2010 – 2019
- 2013
- [j1]Takashi Yazane, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi:
Effect of network-coding overhead on end-to-end throughput for multihop wireless networks. Perform. Evaluation 70(1): 14-27 (2013) - 2010
- [c1]Takashi Yazane, Hiroyuki Masuyama, Shoji Kasahara, Yutaka Takahashi:
End-to-End Throughput Analysis of Multihop Wireless Networks with Network Coding. ICC 2010: 1-5
Coauthor Index
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