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ORCIDKoji Nakano
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- affiliation: Hiroshima University, Department of Information Engineering
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2020 – today
- 2023
[j120]Naoki Matsumura, Yasuaki Ito
, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru:
A novel structured sparse fully connected layer in convolutional neural networks. Concurr. Comput. Pract. Exp. 35(11) (2023)- [j119]Daisuke Takafuji, Koji Nakano, Yasuaki Ito:
Efficient parallel implementations to compute the diameter of a graph. Concurr. Comput. Pract. Exp. 35(11) (2023) - [j118]Ryota Yasudo, Koji Nakano, Michihiro Koibuchi, Hiroki Matsutani, Hideharu Amano:
Designing low-diameter interconnection networks with multi-ported host-switch graphs. Concurr. Comput. Pract. Exp. 35(11) (2023) - 2022
- [j117]Koji Nakano:
Preface: Special issued on the Ninth International Symposium on Networking and Computing. Int. J. Netw. Comput. 12(2): 237 (2022) - [j116]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) - [c173]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 - [c172]Haiya Huang, Yasuaki Ito, Koji Nakano:
A Bokeh Image Generation Technique using Machine Learning. CANDAR 2022: 97-103 - [c171]Hao Su, Jiamian Huang, Yasuaki Ito, Koji Nakano:
ConvUNeXt: A Lightweight Convolutional Neural Network for Watercolor Image Translation. CANDARW 2022: 127-133 - [c170]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 - [c169]Jacir Luiz Bordim, Michihiro Koibuchi, Satoshi Fujita, Koji Nakano:
Message from the Organizers: CANDAR 2022. CANDAR 2022: viii - [c168]Taiki Sasaki, Yasuaki Ito, Koji Nakano, Akihiko Kasagi:
BERT-Based Scientific Paper Quality Prediction. ICANN (4) 2022: 212-223 - [c167]Yasuaki Ito, Koji Nakano, Akihiko Kasagi:
The Bonsai Hypothesis: An Efficient Network Pruning Technique. AIAI (1) 2022: 229-241 - [c166]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 - [c165]Koji Nakano, Victor Poupet:
Optimal Triangulation on the High Bandwidth Memory Model. IPDPS Workshops 2022: 500-507 - [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
- [j115]Naoki Matsumura, Hiroki Tokura, Yuki Kuroda, Yasuaki Ito, Koji Nakano:
Tile art image generation using parallel greedy algorithm on the GPU and its approximation with machine learning. Concurr. Comput. Pract. Exp. 33(12) (2021) - [j114]Takuma Wada, Naoki Matsumura, Ryota Yasudo, Koji Nakano, Yasuaki Ito:
Efficient implementations of Bloom filter using block RAMs and DSP slices on the FPGA. Concurr. Comput. Pract. Exp. 33(12) (2021) - [j113]Koji Nakano:
Preface: Special Issue on the Eighth International Symposium on Networking and Computing. Int. J. Netw. Comput. 11(2): 119 (2021) - [c164]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 - [c163]Jiamian Huang, Yasuaki Ito, Koji Nakano:
A GPU Implementation of Watercolor Painting Image Generation. CANDAR (Workshops) 2021: 145-151 - [c162]Daisuke Takafuji, Koji Nakano, Yasuaki Ito, Akihiko Kasagi:
Acceleration of Deflate Encoding and Decoding with GPU implementations. CANDAR (Workshops) 2021: 180-186 - [c161]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 - 2020
- [j112]Lucas Saad Nogueira Nunes, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano:
A Rabin-Karp Implementation for Handling Multiple Pattern-Matching on the GPU. IEICE Trans. Inf. Syst. 103-D(12): 2412-2420 (2020) - [j111]Koji Nakano:
Preface: Special issued on the Seventh International Symposium on Networking and Computing. Int. J. Netw. Comput. 10(2): 61 (2020) - [j110]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) - [c160]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 - [c159]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 - [c158]Ye Yuan, Yasuaki Ito, Koji Nakano:
Art Font Image Generation with Conditional Generative Adversarial Networks. CANDAR (Workshops) 2020: 151-156 - [c157]Akito Shibata, Sayaka Kamei, Koji Nakano:
Category-oriented Sentiment Polarity Dictionary for Rating Prediction of Japanese Hotels. CANDAR (Workshops) 2020: 440-444 - [c156]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 - [c155]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 - [c154]Jacir Luiz Bordim, Koji Nakano, Susumu Matsumae, Masahiro Shibata:
Workshop 10: APDCM Advances in Parallel and Distributed Computational Models. IPDPS Workshops 2020: 536-537 - [c153]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 - [c152]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
- 2019
- [j109]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) - [j108]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) - [j107]Koji Nakano:
Preface: Special issued on the Sixth International Symposium on Networking and Computing. Int. J. Netw. Comput. 9(2): 130 (2019) - [j106]Ryota Yasudo, Michihiro Koibuchi, Koji Nakano, Hiroki Matsutani, Hideharu Amano:
Designing High-Performance Interconnection Networks with Host-Switch Graphs. IEEE Trans. Parallel Distributed Syst. 30(2): 315-330 (2019) - [c151]Masatoshi Hayashikawa, Koji Nakano, Yasuaki Ito, Ryota Yasudo:
Folded Bloom Filter for High Bandwidth Memory, with GPU Implementations. CANDAR 2019: 18-27 - [c150]Hiroshi Kagawa, Yasuaki Ito, Koji Nakano:
Throughput-Optimal Hardware Implementation of LZW Decompression on the FPGA. CANDAR Workshops 2019: 78-83 - [c149]Daisuke Takafuji, Koji Nakano, Yasuaki Ito:
Efficient GPU Implementations to Compute the Diameter of a Graph. CANDAR 2019: 102-111 - [c148]Naoki Matsumura, Yasuaki Ito, Koji Nakano, Akihiko Kasagi, Tsuguchika Tabaru:
Structured Sparse Fully-Connected Layers in the CNNs and Its GPU Acceleration. CANDAR Workshops 2019: 148-154 - [c147]Ryota Yasudo, Koji Nakano:
The Degree Diameter Problem for Host-Switch Graphs. CANDAR Workshops 2019: 249-255 - [c146]Hisaki Yamane, Yasuaki Ito, Koji Nakano:
A Watercolor Painting Image Generation Using Stroke-Based Rendering. CANDAR Workshops 2019: 465-469 - [c145]Jacir Luiz Bordim, Koji Nakano:
Introduction to APDCM 2019. IPDPS Workshops 2019: 580-581 - [c144]Koji Nakano, Yasuaki Ito, Jacir Luiz Bordim:
FIFO-Based Hardware Sorters for High Bandwidth Memory. IPDPS Workshops 2019: 663-672 - [c143]Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru:
Efficient cuDNN-Compatible Convolution-Pooling on the GPU. PPAM (2) 2019: 46-58 - [c142]Hironobu Kobayashi, Yasuaki Ito, Koji Nakano:
Stained Glass Image Generation Using Voronoi Diagram and Its GPU Acceleration. PPAM (1) 2019: 396-407 - [c141]Takahiro Inoue, Hiroki Tokura, Koji Nakano, Yasuaki Ito:
Efficient Triangular Matrix Vector Multiplication on the GPU. PPAM (1) 2019: 493-504 - 2018
- [j105]Koji Nakano:
Preface: Special issue on the Fifth International Symposium on Computing and Networking. Int. J. Netw. Comput. 8(2): 140 (2018) - [j104]Hiroki Tokura, Toru Fujita, Koji Nakano, Yasuaki Ito, Jacir Luiz Bordim:
Almost optimal column-wise prefix-sum computation on the GPU. J. Supercomput. 74(4): 1510-1521 (2018) - [c140]Takuma Wada, Naoki Matsumura, Koji Nakano, Yasuaki Ito:
Efficient Byte Stream Pattern Test using Bloom Filter with Rolling Hash Functions on the FPGA. CANDAR 2018: 66-75 - [c139]Lucas Saad N. Nunes, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano:
A Prefix-Sum-Based Rabin-Karp Implementation for Multiple Pattern Matching on GPGPU. CANDAR 2018: 139-145 - [c138]Naoki Matsumura, Hiroki Tokura, Yuki Kuroda, Yasuaki Ito, Koji Nakano:
Tile Art Image Generation Using Conditional Generative Adversarial Networks. CANDAR Workshops 2018: 209-215 - [c137]Oscar H. Ibarra, Koji Nakano, Akihiro Fujiwara, Susumu Matsumae:
Introduction to APDCM 2018. IPDPS Workshops 2018: 730-731 - [c136]Yutaro Emoto, Shunji Funasaka, Hiroki Tokura, Takumi Honda, Koji Nakano, Yasuaki Ito:
An Optimal Parallel Algorithm for Computing the Summed Area Table on the GPU. IPDPS Workshops 2018: 763-772 - 2017
- [j103]Hiroaki Kouge, Takumi Honda, Toru Fujita, Yasuaki Ito, Koji Nakano, Jacir Luiz Bordim:
Accelerating digital halftoning using the local exhaustive search on the GPU. Concurr. Comput. Pract. Exp. 29(2) (2017) - [j102]Daisuke Takafuji, Koji Nakano, Yasuaki Ito, Jacir Luiz Bordim:
C2CU: a CUDA C program generator for bulk execution of a sequential algorithm. Concurr. Comput. Pract. Exp. 29(17) (2017) - [j101]Jesús Carretero, Javier García Blas, Koji Nakano, Peter Mueller:
Algorithms and applications towards the convergence of high-end data-intensive and computing systems. Concurr. Comput. Pract. Exp. 29(24) (2017) - [j100]Shunji Funasaka, Koji Nakano, Yasuaki Ito:
Adaptive loss-less data compression method optimized for GPU decompression. Concurr. Comput. Pract. Exp. 29(24) (2017) - [j99]Toru Fujita, Koji Nakano, Yasuaki Ito, Daisuke Takafuji:
An Efficient GPU Implementation of CKY Parsing Using the Bitwise Parallel Bulk Computation Technique. IEICE Trans. Inf. Syst. 100-D(12): 2857-2865 (2017) - [j98]Takumi Honda, Yasuaki Ito, Koji Nakano:
GPU-accelerated Exhaustive Verification of the Collatz Conjecture. Int. J. Netw. Comput. 7(1): 69-85 (2017) - [j97]Koji Nakano:
Preface: Special Issue on the Fourth International Symposium on Computing and Networking. Int. J. Netw. Comput. 7(2): 105 (2017) - [j96]Hiroki Tokura, Takumi Honda, Yasuaki Ito, Koji Nakano, Mitsuya Nishino, Yushiro Hirota, Masami Saeki:
An Efficient GPU Implementation of Bulk Computation of the Eigenvalue Problem for Many Small Real Non-symmetric Matrices. Int. J. Netw. Comput. 7(2): 227-247 (2017) - [c135]Shunji Funasaka, Koji Nakano, Yasuaki Ito:
Single Kernel Soft Synchronization Technique for Task Arrays on CUDA-enabled GPUs, with Applications. CANDAR 2017: 11-20 - [c134]Hiroki Tokura, Yuki Kuroda, Yasuaki Ito, Koji Nakano:
A Square Pointillism Image Generation, and Its GPU Acceleration. CANDAR 2017: 38-47 - [c133]Takuma Wada, Shunji Funasaka, Koji Nakano, Yasuaki Ito:
A Hybrid Architecture for the Approximate String Matching on an FPGA. CANDAR 2017: 48-57 - [c132]Ryota Yasudo, Michihiro Koibuchi, Koji Nakano, Hiroki Matsutani, Hideharu Amano:
Order/Radix Problem: Towards Low End-to-End Latency Interconnection Networks. ICPP 2017: 322-331 - [c131]Takumi Honda, Shinnosuke Yamamoto, Hiroaki Honda, Koji Nakano, Yasuaki Ito:
Simple and Fast Parallel Algorithms for the Voronoi Map and the Euclidean Distance Map, with GPU Implementations. ICPP 2017: 362-371 - [c130]Oscar H. Ibarra, Koji Nakano:
Introduction to APDCM Workshop. IPDPS Workshops 2017: 832 - [c129]Takahiro Nishimura, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano:
Accelerating the Smith-Waterman Algorithm Using Bitwise Parallel Bulk Computation Technique on GPU. IPDPS Workshops 2017: 932-941 - [c128]Yi Yang, Yasuaki Ito, Koji Nakano:
Photomosaic Generation by Rearranging Subimages, with GPU Acceleration. IPDPS Workshops 2017: 942-951 - [c127]Hiroki Tokura, Toru Fujita, Koji Nakano, Yasuaki Ito:
Almost Optimal Column-wise Prefix-sum Computation on the GPU. PPAM (2) 2017: 224-233 - [c126]Kohei Yamashita, Yasuaki Ito, Koji Nakano:
A GPU Implementation of Bulk Execution of the Dynamic Programming for the Optimal Polygon Triangulation. PPAM (1) 2017: 314-323 - 2016
- [j95]Tatsuya Kawamoto, Xin Zhou, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano:
An FPGA Implementation for a Flexible-Length-Arithmetic Processor Employing the FDFM Processor Core Approach. IEICE Trans. Inf. Syst. 99-D(12): 2901-2910 (2016) - [j94]Shunji Funasaka, Koji Nakano, Yasuaki Ito:
Fully Parallelized LZW Decompression for CUDA-Enabled GPUs. IEICE Trans. Inf. Syst. 99-D(12): 2986-2994 (2016) - [j93]Lucas Saad N. Nunes, Jacir Luiz Bordim, Yasuaki Ito, Koji Nakano:
A Memory-Access-Efficient Implementation for Computing the Approximate String Matching Algorithm on GPUs. IEICE Trans. Inf. Syst. 99-D(12): 2995-3003 (2016) - [j92]Takumi Honda, Yasuaki Ito, Koji Nakano:
GPU-Accelerated Bulk Execution of Multiple-Length Multiplication with Warp-Synchronous Programming Technique. IEICE Trans. Inf. Syst. 99-D(12): 3004-3012 (2016) - [j91]Toru Fujita, Koji Nakano, Yasuaki Ito:
Fast Simulation of Conway's Game of Life Using Bitwise Parallel Bulk Computation on a GPU. Int. J. Found. Comput. Sci. 27(8): 981- (2016) - [j90]Toru Fujita, Koji Nakano, Yasuaki Ito:
Bulk execution of Euclidean algorithms on the CUDA-enabled GPU. Int. J. Netw. Comput. 6(1): 42-63 (2016) - [j89]Koji Nakano:
Preface: Special issue on the Third International Symposium on Computing and Networking. Int. J. Netw. Comput. 6(2): 148 (2016) - [j88]Xin Zhou, Koji Nakano, Yasuaki Ito:
Efficient Implementation of FDFM Approach for Euclidean Algorithms on the FPGA. Int. J. Netw. Comput. 6(2): 420-435 (2016) - [j87]Yuji Takeuchi, Koji Nakano, Daisuke Takafuji, Yasuaki Ito:
A character art generator using the local exhaustive search, with GPU acceleration. Int. J. Parallel Emergent Distributed Syst. 31(1): 47-63 (2016) - [c125]Ryouhei Murooka, Yasuaki Ito, Koji Nakano:
Accelerating Ant Colony Optimization for the Vertex Coloring Problem on the GPU. CANDAR 2016: 469-475 - [c124]Lucas Saad N. Nunes, Jacir Luiz Bordim, Koji Nakano, Yasuaki Ito:
A Memory-Access-Efficient Implementation of the Approximate String Matching Algorithm on GPU. CANDAR 2016: 483-489 - [c123]Hiroki Tokura, Takumi Honda, Yasuaki Ito, Koji Nakano, Mitsuya Nishino, Yushiro Hirota, Masami Saeki:
GPU-Accelerated Bulk Computation of the Eigenvalue Problem for Many Small Real Non-symmetric Matrices. CANDAR 2016: 490-496 - [c122]Naoaki Harada, Naoyuki Matsumoto, Koji Nakano, Yasuaki Ito:
A Hardware Sorter for Almost Sorted Sequences, with FPGA Implementations. CANDAR 2016: 565-571 - [c121]Shunji Funasaka, Koji Nakano, Yasuaki Ito:
Light Loss-Less Data Compression, with GPU Implementation. ICA3PP 2016: 281-294 - [c120]Satoshi Fujita, Koji Nakano, Michihiro Koibuchi, Ikki Fujiwara:
Deterministic Construction of Regular Geometric Graphs with Short Average Distance and Limited Edge Length. ICA3PP 2016: 295-309 - [c119]Xin Zhou, Yasuaki Ito, Koji Nakano:
An Efficient Implementation of LZW Compression in the FPGA. ICA3PP 2016: 512-520 - [c118]Koji Nakano, Daisuke Takafuji, Satoshi Fujita, Hiroki Matsutani, Ikki Fujiwara, Michihiro Koibuchi:
Randomly Optimized Grid Graph for Low-Latency Interconnection Networks. ICPP 2016: 340-349 - [c117]Oscar H. Ibarra, Koji Nakano, Akihiro Fujiwara, Susumu Matsumae:
APDCM Introduction and Committees. IPDPS Workshops 2016: 479 - [c116]Toru Fujita, Koji Nakano, Yasuaki Ito:
Bitwise Parallel Bulk Computation on the GPU, with Application to the CKY Parsing for Context-Free Grammars. IPDPS Workshops 2016: 589-598 - [c115]Xin Zhou, Yasuaki Ito, Koji Nakano:
An Efficient Implementation of LZW Decompression in the FPGA. IPDPS Workshops 2016: 599-607 - [e3]Jesús Carretero, Javier García Blas, Ryan K. L. Ko, Peter Mueller, Koji Nakano:
Algorithms and Architectures for Parallel Processing - 16th International Conference, ICA3PP 2016, Granada, Spain, December 14-16, 2016, Proceedings. Lecture Notes in Computer Science 10048, Springer 2016, ISBN 978-3-319-49582-8 [contents] - 2015
- [j86]Lucas de Melo Guimarães, Jacir Luiz Bordim, Koji Nakano:
Using Pulse/Tone Signals as an Alternative to Boost Channel Reservation on Directional Communications. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(8): 1647-1656 (2015) - [j85]Koji Nakano:
Preface: Special Issue on the Second International Symposium on Computing and Networking. Int. J. Netw. Comput. 5(2): 252 (2015) - [c114]Toru Fujita, Daigo Nishikori, Koji Nakano, Yasuaki Ito:
Efficient GPU Implementations for the Conway's Game of Life. CANDAR 2015: 11-20 - [c113]Akihiko Kasagi, Koji Nakano, Yasuaki Ito:
Parallelization Techniques for Error Diffusion with GPU Implementations. CANDAR 2015: 30-39 - [c112]Takumi Honda, Yasuaki Ito, Koji Nakano:
A Warp-Synchronous Implementation for Multiple-Length Multiplication on the GPU. CANDAR 2015: 96-102 - [c111]Lucas Saad N. Nunes, Jacir Luiz Bordim, Koji Nakano, Yasuaki Ito:
A Fast Approximate String Matching Algorithm on GPU. CANDAR 2015: 188-192 - [c110]Shunji Funasaka, Koji Nakano, Yasuaki Ito:
Fast LZW Compression Using a GPU. CANDAR 2015: 303-308 - [c109]Tatsuya Kawamoto, Yasuaki Ito, Koji Nakano:
A Flexible-Length-Arithmetic Processor Based on FDFM Approach in FPGAs. CANDAR 2015: 364-370 - [c108]Oscar H. Ibarra, Koji Nakano, Akihiro Fujiwara, Susumu Matsumae:
APDCM Introduction and Committees. IPDPS Workshops 2015: 384 - [c107]Toru Fujita, Koji Nakano, Yasuaki Ito:
Bulk GCD Computation Using a GPU to Break Weak RSA Keys. IPDPS Workshops 2015: 385-394 - [c106]Lucas Rodrigues Costa, Lucas Saad N. Nunes, Jacir Luiz Bordim, Koji Nakano:
Asterisk PBX Capacity Evaluation. IPDPS Workshops 2015: 519-524 - [c105]Hiroaki Kouge, Yasuaki Ito, Koji Nakano:
GPU-Accelerated Digital Halftoning by the Local Exhaustive Search. ISPDC 2015: 82-89 - [c104]Naoyuki Matsumoto, Koji Nakano, Yasuaki Ito:
Optimal Parallel Hardware K-Sorter and Top K-Sorter, with FPGA Implementations. ISPDC 2015: 138-147 - [c103]Koji Nakano, Yasuaki Ito:
Optimality of Fundamental Parallel Algorithms on the Hierarchical Memory Machine, with GPU Implementation. PDP 2015: 626-634 - [c102]Shunji Funasaka, Koji Nakano, Yasuaki Ito:
A Parallel Algorithm for LZW Decompression, with GPU Implementation. PPAM (1) 2015: 228-237 - [c101]Xin Zhou, Koji Nakano, Yasuaki Ito:
Parallel FDFM Approach for Computing GCDs Using the FPGA. PPAM (1) 2015: 238-247 - 2014
- [j84]Koji Nakano:
Asynchronous Memory Machine Models with Barrier Synchronization. IEICE Trans. Inf. Syst. 97-D(3): 431-441 (2014) - [j83]Akihiko Kasagi, Koji Nakano, Yasuaki Ito:
Offline Permutation on the CUDA-enabled GPU. IEICE Trans. Inf. Syst. 97-D(12): 3052-3062 (2014) - [j82]Duhu Man, Koji Nakano, Yasuaki Ito:
An Optimal Implementation of the Approximate String Matching on the Hierarchical Memory Machine, with Performance Evaluation on the GPU. IEICE Trans. Inf. Syst. 97-D(12): 3063-3071 (2014) - [j81]Xin Zhou, Norihiro Tomagou, Yasuaki Ito, Koji Nakano:
Implementations of the Hough Transform on the Embedded Multicore Processors. Int. J. Netw. Comput. 4(1): 174-188 (2014) - [j80]Koji Nakano:
Preface. Int. J. Netw. Comput. 4(2): 207-208 (2014) - [j79]Koji Nakano:
Simple memory machine models for GPUs. Int. J. Parallel Emergent Distributed Syst. 29(1): 17-37 (2014) - [j78]Koji Nakano:
Optimal implementations of the approximate string matching and the approximate discrete signal matching on the memory machine models. Int. J. Parallel Emergent Distributed Syst. 29(2): 104-118 (2014) - [j77]Akihiro Uchida, Yasuaki Ito, Koji Nakano:
Accelerating ant colony optimisation for the travelling salesman problem on the GPU. Int. J. Parallel Emergent Distributed Syst. 29(4): 401-420 (2014) - [c100]