39 citations · 47 across the 3 of their papers we have counts for
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cs.LG2019★ 1 cited
Profiling based Out-of-core Hybrid Method for Large Neural Networks
Yuki Ito, Haruki Imai, Tung Le Duc +4
GPUs are widely used to accelerate deep learning with NNs (NNs). On the other hand, since GPU memory capacity is limited, it is difficult to implement efficient programs that compu…
cs.LG2018★ 7 cited
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
Haruki Imai, Samuel Matzek, Tung D. Le +2
Deep neural network models used for medical image segmentation are large because they are trained with high-resolution three-dimensional (3D) images. Graphics processing units (GPU…
cs.LG2018
TFLMS: Large Model Support in TensorFlow by Graph Rewriting
Tung D. Le, Haruki Imai, Yasushi Negishi +1
While accelerators such as GPUs have limited memory, deep neural networks are becoming larger and will not fit with the memory limitation of accelerators for training. We propose a…