An Energy-Efficient Silicon Photonic-Assisted Deep Learning Accelerator for Big Data
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Deep learning has become the most mainstream technology in artificial intelligence (AI) because it can be comparable to human performance in complex tasks.
However, in the era of big data, the ever-increasing data volume and model scale makes deep learning require mighty computing power and acceptable energy costs.
For electrical chips, including most deep learning accelerators, transistor performance limitations make it challenging to meet computing’s energy efficiency requirements.
Silicon photonic devices are expected to replace transistors and become the mainstream components in computing architecture due to their advantages, such as low energy consumption, large bandwidth, and high speed.
Therefore, we propose a silicon photonic-assisted deep learning accelerator for big data.
The accelerator uses microring resonators (MRs) to form a photonic multiplication array.
It combines photonic-specific wavelength division multiplexing (WDM) technology to achieve multiple parallel calculations of input feature maps and convolution kernels at the speed of light, providing the promise of energy efficiency and calculation speed improvement.
The proposed accelerator achieves at least a 75x improvement in computational efficiency compared to the traditional electrical design.
American Psychological Association (APA)
Li, Mengkun& Wang, Yongjian. 2020. An Energy-Efficient Silicon Photonic-Assisted Deep Learning Accelerator for Big Data. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1214473
Modern Language Association (MLA)
Li, Mengkun& Wang, Yongjian. An Energy-Efficient Silicon Photonic-Assisted Deep Learning Accelerator for Big Data. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1214473
American Medical Association (AMA)
Li, Mengkun& Wang, Yongjian. An Energy-Efficient Silicon Photonic-Assisted Deep Learning Accelerator for Big Data. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1214473
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214473