Energy-Efficient Near-Pixel 2D CNN Accelerator
- 1.1 Data Processing System (Novel Computing, Machine Learning, Neural Network, etc.)
- 1.2 Data Storage System (Computation-in-Memory, Persistent Memory, etc.)
- 1.4 Data Generation System (Sensor, Microsensor, etc.)
Makoto Takamiya
Institute of Industrial Science
Professor
The convolution operation, an original feature of the convolutional neural network (CNN) algorithm, is performed only near the featured pixel. The CNN operation is two-dimensionally performed using the digital integrated circuit within the vicinity of the pixel, without writing data to the external memory.
Related links
Related publications
Ruizhi Wang, Makoto Takamiya, “Proposal of Energy-Efficient Near-Pixel 2D CNN Accelerator,” IEICE, C-12-24, on line, 2020.9.
SDGs
Contact
- Graduate School of Engineering Makoto Takamiya
- Email: mtaka[at]iis.u-tokyo.ac.jp
※[at]=@
