Search Results - Kawachiya, Kiyokuni

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  1. 1
    Failure Recovery in Resilient X10

    Failure Recovery in Resilient X10 by Grove, David, Hamouda, Sara S., Herta, Benjamin, Iyengar, Arun, Kawachiya, Kiyokuni, Milthorpe, Josh, Saraswat, Vijay, Shinnar, Avraham, Takeuchi, Mikio, Tardieu, Olivier

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  2. 2
    Evolution of a Java just-in-time compiler for IA-32 platforms

    Evolution of a Java just-in-time compiler for IA-32 platforms by Suganuma, T., Ogasawara, T., Kawachiya, K., Takeuchi, M., Ishizaki, K., Koseki, A., Inagaki, T., Yasue, T., Kawahito, M., Onodera, T., Komatsu, H., Nakatani, T.

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  3. 3
    TFLMS: Large Model Support in TensorFlow by Graph Rewriting

    TFLMS: Large Model Support in TensorFlow by Graph Rewriting by Le, Tung D, Imai, Haruki, Negishi, Yasushi, Kawachiya, Kiyokuni

    Published in arXiv.org
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  4. 4
    A Study of Java's Non-Java Memory

    A Study of Java's Non-Java Memory by OGATA, Kazunori, MIKURUBE, Dai, KAWACHIYA, Kiyokuni, TRENT, Scott, ONODERA, Tamiya

    Published in ACM SIGPLAN notices
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  5. 5
    Efficient Runtime Tracking of Allocation Sites in Java

    Efficient Runtime Tracking of Allocation Sites in Java by ODAIRA, Rei, OGATA, Kazunori, KAWACHIYA, Kiyokuni, ONODERA, Tamiya, NAKATANI, Toshio

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  6. 6
    Analysis and Reduction of Memory Inefficiencies in Java Strings

    Analysis and Reduction of Memory Inefficiencies in Java Strings by KAWACHIYA, Kiyokuni, OGATA, Kazunori, ONODERA, Tamiya

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  7. 7
    Profiling based Out-of-core Hybrid Method for Large Neural Networks

    Profiling based Out-of-core Hybrid Method for Large Neural Networks by Ito, Yuki, Imai, Haruki, Tung Le Duc, Negishi, Yasushi, Kawachiya, Kiyokuni, Matsumiya, Ryo, Endo, Toshio

    Published in arXiv.org
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  8. 8
    Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method

    Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method by Imai, Haruki, Matzek, Samuel, Le, Tung D, Negishi, Yasushi, Kawachiya, Kiyokuni

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  9. 9
    Compiling ONNX Neural Network Models Using MLIR

    Compiling ONNX Neural Network Models Using MLIR by Tian, Jin, Gheorghe-Teodor Bercea, Le, Tung D, Chen, Tong, Gong, Su, Imai, Haruki, Negishi, Yasushi, Leu, Anh, O'Brien, Kevin, Kawachiya, Kiyokuni, Eichenberger, Alexandre E

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  10. 10
    A portable communication system for video-on-demand applications using the existing infrastructure

    A portable communication system for video-on-demand applications using the existing infrastructure by Negishi, Y., Kawachiya, K., Tago, K.

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  11. 11
    Replay compilation : Improving debuggability of a Just-in-Time compiler

    Replay compilation : Improving debuggability of a Just-in-Time compiler by OGATA, Kazunori, ONODERA, Tamiya, KAWACHIYA, Kiyokuni, KOMATSU, Hideaki, NAKATANI, Toshio

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  12. 12
    Lock reservation: Java locks can mostly do without atomic operations

    Lock reservation: Java locks can mostly do without atomic operations by KAWACHIYA, Kiyokuni, KOSEKI, Akira, ONODERA, Tamiya

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  13. 13
    Effectiveness of cross-platform optimizations for a Java just-in-time compiler

    Effectiveness of cross-platform optimizations for a Java just-in-time compiler by ISHIZAKI, Kazuaki, TAKEUCHI, Mikio, OGASAWARA, Takeshi, ONODERA, Tamiya, KOMATSU, Hideaki, NAKATANI, Toshio, KAWACHIYA, Kiyokuni, SUGANUMA, Toshio, GOHDA, Osamu, INAGAKI, Tatsushi, KOSEKI, Akira, OGATA, Kazunori, KAWAHITO, Motohiro, YASUE, Toshiaki

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