Papers - WAKATANI Akiyoshi
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Preliminary Implementation of Two Parallel Programs for Fractal Image Coding on GPUs Reviewed
Akiyoshi Wakatani
Proc. the 2011 IEEE International Conference on Consumer Electronics 1 - 2 2011.1
Single Work
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Implementation of Fractal image coding algorithm for GPGPU systems using CUDA Reviewed
Akiyoshi Wakatani
Proc. IADIS International Conference Informatics 2010 171 - 175 2010.7
Single Work
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GPGPUシステムにおけるフラクタル符号化の実装と評価
若谷彰良
甲南大学紀要 知能情報学編 3 ( 1 ) 1 - 8 2010.7
Single Work
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グリッド環境向けPNNコードブック生成法の実装と評価
若谷彰良，肥塚拓也
甲南大学 情報教育研究センター紀要 ( 8 ) 1 - 21 2010.3
Joint Work
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Implementation of twofold loop algorithms for GPGPU systems using CUDA Reviewed
Akiyoshi Wakatani
Proc. 25th International Conference on Computers and Their Applications 1 - 5 2010.3
Single Work
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Preliminary Implementation of VQ Image Coding using GPGPU Reviewed
Akiyoshi Wakatani
Proc. 2010 IEEE International Conference on Consumer Electronics 1 - 2 2010.1
Single Work
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GPGPUシステムにおけるLBGアルゴリズムを用いたベクトル量子化圧縮の実装と評価
若谷彰良
甲南大学紀要 知能情報学編 2 ( 2 ) 147 - 154 2009.12
Single Work
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Implementation of Recurrence Calculation on a Heterogeneous Multicore Processor Reviewed
Akiyoshi Wakatani
Proc. 8th IEEE International Conference on Computer and Information Science 876 - 881 2009.6
Single Work
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Reduced Parallel PNN algorithm for PC Grid systems Reviewed
Akiyoshi Wakatani, Takuya Koezuka
Proc. ACM SAC 2009 1009 - 1010 2009.3
Joint Work
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マルチコアアーキテクチャにおけるADI法の評価
若谷彰良，大平雄太
甲南大学 情報教育研究センター紀要 ( 7 ) 1 - 15 2009.3
Joint Work
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Effectiveness of a strip-mining approach for VQ Image Coding using GPGPU implementation Reviewed
Akiyoshi Wakatani
2009 24TH INTERNATIONAL CONFERENCE IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ 2009) 35 - 38 2009
Publisher：IEEE
GPGPU (General Purpose computing on Graphic Processing Unit) attracts a great deal of attention, that is used for general-purpose computations like numerical calculations as well as graphic processing. As the Internet grows, the amount of data transmitted on the Internet increases dramatically, so the data compression has been more important than ever. The VQ (Vector Quantization) compression is one of the most important methods for compressing multimedia data, but the execution time of the codebook generation for the compression is very large. In this paper, we focus on the codebook generation algorithm called PNN (Pairwise Nearest Neighbor) and consider the availability of GPGPU by using CUDA (Compute Unified Device Architecture) for the algorithm. Our experimental results show that the speedup of more than 40 is achieved with a strip-mining approach on NVIDIA's GPU compared with a conventional Core 2 processor. We also evaluate it from the viewpoint of the power consumption.
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マルチコア時代の並列プログラミング
若谷彰良
甲南大学紀要 知能情報学編 1 ( 2 ) 223 - 248 2008.12
Single Work
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Parallel implementation of DPCM decoding for SMP systems Reviewed
Akiyoshi Wakatani
Proc. of 6th International Conference on Software Engineering Research, Management and Applications 69 - 74 2008.8
Single Work
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共有メモリシステムに対するDPCM復号処理の並列実装
若谷彰良
甲南大学紀要 知能情報学編 1 ( 1 ) 119 - 12 2008.7
Single Work
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Multi-step parallel PNN algorithm for distributed-memory systems Invited Reviewed
Akiyoshi Wakatani
Computer and Information Science,Studies in Computational Intelligence, (Springer) 41 - 50 2008.5
Single Work
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Multi-step parallel PNN algorithm for distributed-memory systems
Akiyoshi Wakatani
Computer and Information Science,Studies in Computational Intelligence, (Springer) 41 - 50 2008.5
Single Work
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“Parallel Recurrence Calculation on Cell BE” Reviewed
Akiyoshi Wakatani,
Proc. of SIAM PP08 2008.3
Single Work
Authorship：Lead author
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“Parallel VQ Compression Using PNN Algorithm for PC Grid System” Invited Reviewed
Akiyoshi Wakatani,
Telecommunication Systems Journal 37 ( 1-3 ) 127 - 135 2008.3
Single Work