@article{CTT100760854,
  author = {Huda Ibeid and Rio Yokota and Jennifer Pestana and David Keyes},
  title = {Fast Multipole Preconditioners for Sparse Matrices Arising from Elliptic Equations},
  journal = {Computing and Visualization in Science},
  year = 2017,
}

@inproceedings{CTT100759338,
  author = {Hiroki Naganuma and Rio Yokota},
  title = {Verification of Low-precision Arithmetic for the Acceleration of Convolutional Neural Networks},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100755398,
  author = {K. Osawa and A. Sekiya and H. Naganuma and R. Yokota},
  title = {Acceleration of Convolutional Neural Networks Using Low-Rank Tensor Decomposition},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100755397,
  author = {H. Naganuma and A. Sekiya and K. Osawa and H. Otomo and Y. Kuwamura and R. Yokota},
  title = {Evaluating the Performance of Deep Learning with Low Precision Arithmetic},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751154,
  author = {Kazuki Oosawa and Rio Yokota},
  title = {Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100755396,
  author = {H. Naganuma and K. Osawa and A. Sekiya and R. Yokota},
  title = {Acceleration of Compressed Models in Deep Learning Using Half Precision Arithmetic},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751153,
  author = {Mustafa AbdulJabbar and Mohammed Al Farhan and Rio Yokota and David Keyes},
  title = {Performance Evaluation of Computation and Communication Kernels of the Fast Multipole Method on Intel Manycore Architecture},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751150,
  author = {Satoshi Ohshima and Ichitaro Yamazaki and Akihiro Ida and Rio Yokota},
  title = {Optimization of Hierarchical Matrix Computations on a Cluster of GPUs},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751142,
  author = {Kazuki Oosawa and Akira Sekiya and Hiroki Naganuma and Rio Yokota},
  title = {Accelerating Matrix Multiplication in Deep Learning by Using Low-Rank Approximation},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751139,
  author = {Mustafa AbdulJabbar and George Markomanolis and Huda Ibeid and Rio Yokota and David Keyes},
  title = {Communication Reducing Algorithms for Distributed Heirarchical N-Body Methods},
  booktitle = {Lecture Notes in Computer Science},
  year = 2017,
}

@inproceedings{CTT100751140,
  author = {Rio Yokota},
  title = {Hierarchical Low-Rank Approximations at Extreme Scale},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751136,
  author = {Kazuki Oosawa and Akira Sekiya and Hiroki Naganuma and Rio Yokota},
  title = {Accelerating Convolutional Neural Networks Using Low-Rank Approximation},
  booktitle = {Proceedings of the 22nd Conference of Japan Computational Engineering Society},
  year = 2017,
}

@inproceedings{CTT100737180,
  author = {Yoshifumi Motoyama and Toshio Endo and SATOSHI MATSUOKA and Rio Yokota and Keisuke Fukuda and 佐藤 育郎},
  title = {Using Low-Rank Approximation in Convolutional Neural Networks},
  booktitle = {2017-HPC-158 No.25},
  year = 2017,
}

@inproceedings{CTT100751133,
  author = {Akira Sekiya and Kazuki Oosawa and Hiroki Naganuma and Rio Yokota},
  title = {Acceleration of Matrix Multiplication in Deep Learning Using Low-Rank Approximation},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751129,
  author = {Rio Yokota},
  title = {Compute-Memory Tradeoff in Hierarchical Low-Rank Approximation Methods},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100751127,
  author = {Rio Yokota},
  title = {Energy Conservation of Fast Multipole Methods in Classical Molecular Dynamics Simulations},
  booktitle = {},
  year = 2017,
}