You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Efficient cuDNN-Compatible Convolution-Pooling on the GPU
|
---|---|
Chapter number | 5 |
Book title |
Parallel Processing and Applied Mathematics
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-43222-5_5 |
Book ISBNs |
978-3-03-043221-8, 978-3-03-043222-5
|
Authors |
Shunsuke Suita, Takahiro Nishimura, Hiroki Tokura, Koji Nakano, Yasuaki Ito, Akihiko Kasagi, Tsuguchika Tabaru, Suita, Shunsuke, Nishimura, Takahiro, Tokura, Hiroki, Nakano, Koji, Ito, Yasuaki, Kasagi, Akihiko, Tabaru, Tsuguchika |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 100% |