Acta Optica Sinica, Volume. 43, Issue 4, 0415001(2023)
Photonic Convolutional Neural Network Accelerator Assisted by Phase Change Material
Fig. 1. Structural diagram of Add-Drop MRR and "broadcast and weighting" structure. (a) "Broadcast and weighting" structure; (b) electro-optic (EO) modulation MRR; (c) schematic diagram of EO-modulation optical waveguide structure
Fig. 2. Schematic diagram of structure and cross-section of GST-based MRR. (a) Schematic diagram of structure; (b) schematic diagram of cross-section
Fig. 3. GST-MRR performance diagram. (a) Transmission curve of Drop port; (b) transmission curve of Through port; (c) field intensity distribution in completely amorphous state; (d) field intensity distribution at 50% crystallization degree; (e) transmission curves of two ports; (f)
Fig. 5. On-chip structure of optical CNN accelerator and structure of CNN. (a) On-chip structure of optical CNN accelerator; (b) structure of CNN
Fig. 6. Schematic diagrams of waveforms for 4×4 optical MVM with 10 Gb/s and 20 Gb/s modulation rates. (a) Waveform of input pulse 1; (b) waveform of input pulse 2; (c) waveform of input pulse 3; (d) waveform of input pulse 4; (e) output convolution pulse at 10 Gb/s; (f) output convolution pulse at 20 Gb/s
Fig. 7. Comparison of computing times of different accelerators under same computing requirements
Fig. 8. Inference task for handwritten numbers. (a) Inference accuracy of each number; (b) output confusion matrix
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Pengxing Guo, Zhiyuan Liu, Weigang Hou, Lei Guo. Photonic Convolutional Neural Network Accelerator Assisted by Phase Change Material[J]. Acta Optica Sinica, 2023, 43(4): 0415001
Category: Machine Vision
Received: Jun. 15, 2022
Accepted: Sep. 13, 2022
Published Online: Feb. 16, 2023
The Author Email: Hou Weigang (houwg@cqupt.edu.cn)