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Takuya Kojima

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2020 – today

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2024
[c33]
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Takuya Kojima, Yosuke Yanai, Hayate Okuhara, Hideharu Amano, Morihiro Kuga, Masahiro Iida:
SLMLET: A RISC-V Processor SoC with Tightly-Coupled Area-Efficient eFPGA Blocks. COOL CHIPS 2024: 1-6
[c32]
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Ai Nozaki, Takuya Kojima, Hiroshi Nakamura, Hideki Takase:
MLIR-Based Homomorphic Encryption Compiler for GPU. HEART 2024: 130-132
[c31]
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Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
A Scalable Mapping Method for Elastic CGRAs. IPDPS (Workshops) 2024: 650-657
[c30]
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Ryogo Kai, Kenta Ohashi, Hikaru Fujita, Takuya Kojima, Yuma Sasaki, Mihoko Niitsuma, Kazunori Umeda:
Development of an Environmentally Independent Mobile Manipulation System for Product Disposal in Retail Stores. SII 2024: 1282-1287
[c29]
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Atsushi Sugimoto, Yuma Sasaki, Takuya Kojima, Otono Uchikawa, Taisei Inaba, Taito Nishikawa, Mihoko Niitsuma:
Situation-based Proactive Human-Robotic Systems Interaction and Collaboration in Future Convenience Stores. SII 2024: 1417-1424
2023
[j9]
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Takuya Kojima, Hayate Okuhara, Masaaki Kondo, Hideharu Amano:
A Scalable Body Bias Optimization Method Toward Low-Power CGRAs. IEEE Micro 43(1): 49-57 (2023)
[j8]
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Aika Kamei, Hideharu Amano, Takuya Kojima, Daiki Yokoyama, Kimiyoshi Usami, Keizo Hiraga, Kenta Suzuki, Kazuhiro Bessho:
A Variation-Aware MTJ Store Energy Estimation Model for Edge Devices With Verify-and-Retryable Nonvolatile Flip-Flops. IEEE Trans. Very Large Scale Integr. Syst. 31(4): 532-542 (2023)
[c28]
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Boma A. Adhi, Carlos Cortes, Emanuele Del Sozzo, Tomohiro Ueno, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano:
Less for More: Reducing Intra-CGRA Connectivity for Higher Performance and Efficiency in HPC. IPDPS Workshops 2023: 452-459
[c27]
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Kaito Kutsuna, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
An Area-Efficient Coarse-Grained Reconfigurable Array Design for Approximate Computing. MCSoC 2023: 59-64
[c26]
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Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
ILP Based Mapping for Elastic CGRAs. RTCSA 2023: 281-282
2022
[j7]
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Takuya Kojima, Ayaka Ohwada, Hideharu Amano:
Mapping-Aware Kernel Partitioning Method for CGRAs Assisted by Deep Learning. IEEE Trans. Parallel Distributed Syst. 33(5): 1213-1230 (2022)
[c25]
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Boma A. Adhi, Carlos Cortes, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano:
The Cost of Flexibility: Embedded versus Discrete Routers in CGRAs for HPC. CLUSTER 2022: 347-356
[c24]
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Takuya Kojima, Hayate Okuhara, Masaaki Kondo, Hideharu Amano:
Body Bias Control on a CGRA based on Convex Optimization. COOL CHIPS 2022: 1-3
[c23]
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Boma A. Adhi, Carlos Cortes, Tomohiro Ueno, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano:
Exploring Inter-tile Connectivity for HPC-oriented CGRA with Lower Resource Usage. FPT 2022: 1-4
[c22]
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Takuya Kojima, Boma A. Adhi, Carlos Cortes, Yiyu Tan, Kentaro Sano:
An Architecture- Independent CGRA Compiler enabling OpenMP Applications. IPDPS Workshops 2022: 631-638
[c21]
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Boma A. Adhi, Carlos Cortes, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano:
Exploration Framework for Synthesizable CGRAs Targeting HPC: Initial Design and Evaluation. IPDPS Workshops 2022: 639-646
[c20]
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Ayaka Ohwada, Takuya Kojima, Hideharu Amano:
An efficient compilation of coarse-grained reconfigurable architectures utilizing pre-optimized sub-graph mappings. PDP 2022: 1-9
2021
[j6]
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Takeharu Ikezoe, Takuya Kojima, Hideharu Amano:
Recovering Faulty Non-Volatile Flip Flops for Coarse-Grained Reconfigurable Architectures. IEICE Trans. Electron. 104-C(6): 215-225 (2021)
[c19]
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Aika Kamei, Takuya Kojima, Hideharu Amano, Daiki Yokoyama, Hisato Miyauchi, Kimiyoshi Usami, Keizo Hiraga, Kenta Suzuki, Kazuhiro Bessho:
Energy saving in a multi-context coarse grained reconfigurable array with non-volatile flip-flops. MCSoC 2021: 273-280
2020
[j5]
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Takuya Kojima, Nguyen Anh Vu Doan, Hideharu Amano:
GenMap: A Genetic Algorithmic Approach for Optimizing Spatial Mapping of Coarse-Grained Reconfigurable Architectures. IEEE Trans. Very Large Scale Integr. Syst. 28(11): 2383-2396 (2020)

2010 – 2019

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2019
[j4]
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Takuya Kojima, Mamoru Kunieda, Makoto Nakamura, Daisuke Ito, Keiji Kishine:
Burst-Mode CMOS Transimpedance Amplifier Based on a Regulated-Cascode Circuit with Gain-Mode Switching. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(6): 845-848 (2019)
[j3]
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Takuya Kojima, Hideharu Amano:
A Fine-Grained Multicasting of Configuration Data for Coarse-Grained Reconfigurable Architectures. IEICE Trans. Inf. Syst. 102-D(7): 1247-1256 (2019)
[c18]
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Takuya Kojima, Naoki Ando, Yusuke Matsushita, Hideharu Amano:
Demonstration of Low Power Stream Processing Using a Variable Pipelined CGRA. FPL 2019: 411-412
[c17]
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Hideto Kayashima, Takuya Kojima, Hayate Okuhara, Tsunaaki Shidei, Hideharu Amano:
Real Chip Performance Evaluation on Through Chip Interface IP for Renesas SOTB 65nm Process. CANDAR Workshops 2019: 269-274
[c16]
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Takeharu Ikezoe, Takuya Kojima, Hideharu Amano:
A Coarse-Grained Reconfigurable Architecture with a Fault Tolerant Non-Volatile Configurable Memory. FPT 2019: 81-89
[c15]
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Sayaka Terashima, Takuya Kojima, Hayate Okuhara, Kazusa Musha, Hideharu Amano, Ryuichi Sakamoto, Masaaki Kondo, Mitaro Namiki:
A Preliminary Evaluation of Building Block Computing Systems. MCSoC 2019: 312-319
[c14]
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Xiangrong Zhou, Takuya Kojima, Song Wang, Xinxin Zhou, Takeshi Hara, Taiki Nozaki, Masaki Matsusako, Hiroshi Fujita:
Automatic anatomy partitioning of the torso region on CT images by using a deep convolutional network with majority voting. Medical Imaging: Computer-Aided Diagnosis 2019: 109500Z
[c13]
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Takuya Kojima, Hideharu Amano:
Refinements in Data Manipulation Method for Coarse Grained Reconfigurable Architectures. ReCoSoC 2019: 113-120
2018
[j2]
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Takuya Kojima, Naoki Ando, Hayate Okuhara, Ng. Anh Vu Doan, Hideharu Amano:
Optimization of Body Biasing for Variable Pipelined Coarse-Grained Reconfigurable Architectures. IEICE Trans. Inf. Syst. 101-D(6): 1532-1540 (2018)
[c12]
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Takuya Kojima, Hideharu Amano:
A Configuration Data Multicasting Method for Coarse-Grained Reconfigurable Architectures. FPL 2018: 239-242
[c11]
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Takuya Kojima, Naoki Ando, Yusuke Matshushita, Hayate Okuhara, Ng. Anh Vu Doan, Hideharu Amano:
Real Chip Evaluation of a Low Power CGRA with Optimized Application Mapping. HEART 2018: 13:1-13:6
[c10]
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Xiangrong Zhou, Kazuma Yamada, Takuya Kojima, Ryosuke Takayama, Song Wang, Xinxin Zhou, Takeshi Hara, Hiroshi Fujita:
Performance evaluation of 2D and 3D deep learning approaches for automatic segmentation of multiple organs on CT images. Medical Imaging: Computer-Aided Diagnosis 2018: 105752C
2017
[c9]
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Takuya Kojima, Naoki Ando, Hayate Okuhara, Ng. Anh Vu Doan, Hideharu Amano:
Body bias optimization for variable pipelined CGRA. FPL 2017: 1-4
[c8]
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Ryuichi Sakamoto, Ryo Takata, Jun Ishii, Masaaki Kondo, Hiroshi Nakamura, Tetsui Ohkubo, Takuya Kojima, Hideharu Amano:
Scalable deep neural network accelerator cores with cubic integration using through chip interface. ISOCC 2017: 155-156
[c7]
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Ryuichi Sakamoto, Ryo Takata, Jun Ishii, Masaaki Kondo, Hiroshi Nakamura, Tetsui Ohkubo, Takuya Kojima, Hideharu Amano:
The Design and Implementation of Scalable Deep Neural Network Accelerator Cores. MCSoC 2017: 13-20
[c6]
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Takuya Kojima, Naoki Ando, Hayate Okuhara, Hideharu Amano:
Glitch-aware variable pipeline optimization for CGRAs. ReConFig 2017: 1-6
2013
[c5]
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Tatsuhiro Kishi, Takuya Kojima, Nobutsuna Endo, Matthieu Destephe, Takuya Otani, Lorenzo Jamone, Przemyslaw Kryczka, Gabriele Trovato, Kenji Hashimoto, Sarah Cosentino, Atsuo Takanishi:
Impression survey of the emotion expression humanoid robot with mental model based dynamic emotions. ICRA 2013: 1663-1668
2010
[c4]
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Nobutsuna Endo, Keita Endo, Kenji Hashimoto, Takuya Kojima, Fumiya Iida, Atsuo Takanishi:
Integration of emotion expression and visual tracking locomotion based on Vestibulo-Ocular Reflex. RO-MAN 2010: 558-563

2000 – 2009

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2002
[j1]
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Shuji Hashimoto, Seinosuke Narita, Hironori Kasahara, Katsuhiko Shirai, Atsuo Kobayashi, Atsuo Takanishi, Shigeki Sugano, Jin'ichi Yamaguchi, Hideyuki Sawada, Hideaki Takanobu, Koji Shibuya, Toshio Morita, T. Kurata, Naoyuki Onoe, K. Ouchi, T. Noguchi, Yosihiro Niwa, Seikon Nagayama, Hirokazu Tabayashi, I. Matsui, Motoki Obata, H. Matsuzaki, A. Murasugi, Tetsunori Kobayashi, Satoshi Haruyama, Tetsuhiko Okada, Yasuaki Hidaki, Yuichi Taguchi, Keiichiro Hoashi, Emi Morikawa, Yuri Iwano, D. Araki, J. Suzuki, Masao Yokoyama, I. Dawa, Daisuke Nishino, Sadatoshi Inoue, Tomoshiro Hirano, Eiji Soga, S. Gen, T. Yanada, Keisuke Kato, S. Sakamoto, Y. Ishii, Shigeru Matsuo, Yousuke Yamamoto, Kensuke Sato, T. Hagiwara, T. Ueda, N. Honda, Kazuo Hashimoto, T. Hanamoto, S. Kayaba, Takuya Kojima, Hiroyasu Iwata, H. Kubodera, R. Matsuki, T. Nakajima, K. Nitto, D. Yamamoto, Y. Kamizaki, S. Nagaike, Y. Kunitake, Satoshi Morita:
Humanoid Robots in Waseda University-Hadaly-2 and WABIAN. Auton. Robots 12(1): 25-38 (2002)

1990 – 1999

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1998
[c3]
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Takuya Kojima, Atsushi Yoshikawa:
A Two-Step Model of Pattern Acquisition: Application to Tsume-Go. Computers and Games 1998: 146-166
[c2]
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Atsushi Yoshikawa, Takuya Kojima, Yasuki Saito:
Relations between Skill and the Use of Terms - An Analysis of Protocols of the Game of Go. Computers and Games 1998: 282-299
1997
[c1]
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Takuya Kojima, Kazuhiro Ueda, Saburo Nagano:
An Evolutionary Algorithm Extended by Ecological Analogy and its Application to the Game of Go. IJCAI (1) 1997: 684-691

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