Kiyokuni Kawachiya

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Haruki Imai

> Home > Persons > Kiyokuni Kawachiya

Publications

2020
[c23]
- view
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/ImaiLNK20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/ImaiLNK20
Haruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
Acceleration of Large Deep Learning Training with Hybrid GPU Memory Management of Swapping and Re-computing. IEEE BigData 2020: 1111-1116
[i4]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-2008-08272
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2008-08272
Tung D. Le, Gheorghe-Teodor Bercea, Tong Chen, Alexandre E. Eichenberger, Haruki Imai, Tian Jin, Kiyokuni Kawachiya, Yasushi Negishi, Kevin O'Brien:
Compiling ONNX Neural Network Models Using MLIR. CoRR abs/2008.08272 (2020)
2019
[c22]
- view
  authority control:
- export record
  dblp key:
  - conf/iwmm/LeINK19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iwmm/LeINK19
Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
Automatic GPU memory management for large neural models in TensorFlow. ISMM 2019: 1-13
[c21]
- view
  authority control:
- export record
  dblp key:
  - conf/miccai/ImaiMLNK19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/miccai/ImaiMLNK19
Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
High Resolution Medical Image Segmentation Using Data-Swapping Method. MICCAI (3) 2019: 238-246
[c20]
- view
  authority control:
- export record
  dblp key:
  - conf/ppopp/ItoILNKME19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ppopp/ItoILNKME19
Yuki Ito, Haruki Imai, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based out-of-core hybrid method for large neural networks: poster. PPoPP 2019: 399-400
[i3]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1907-05013
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1907-05013
Yuki Ito, Haruki Imai, Tung Le Duc, Yasushi Negishi, Kiyokuni Kawachiya, Ryo Matsumiya, Toshio Endo:
Profiling based Out-of-core Hybrid Method for Large Neural Networks. CoRR abs/1907.05013 (2019)
2018
[c19]
- view
  authority control:
- export record
  dblp key:
  - conf/wosp/LeSNIK18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wosp/LeSNIK18
Tung D. Le, Taro Sekiyama, Yasushi Negishi, Haruki Imai, Kiyokuni Kawachiya:
Involving CPUs into Multi-GPU Deep Learning. ICPE 2018: 56-67
[i2]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1807-02037
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1807-02037
Tung D. Le, Haruki Imai, Yasushi Negishi, Kiyokuni Kawachiya:
TFLMS: Large Model Support in TensorFlow by Graph Rewriting. CoRR abs/1807.02037 (2018)
[i1]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1812-07816
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1812-07816
Haruki Imai, Samuel Matzek, Tung D. Le, Yasushi Negishi, Kiyokuni Kawachiya:
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method. CoRR abs/1812.07816 (2018)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.