Abstract
We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS, generating convolutions of images of 250,000 pixels with 8-bit resolution for 10 kernels simultaneously. We use the same hardware to form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 88% accuracy. Our approach is scalable and trainable for applications to unmanned vehicle and real-time video recognition.
Original language | English |
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Title of host publication | 2022 Optical Fiber Communications Conference and Exhibition (OFC) |
Editors | Domiique Dagenais |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Number of pages | 3 |
ISBN (Electronic) | 9781557524669 |
ISBN (Print) | 9781665470124 |
Publication status | Published - 2022 |
Event | Optical Fiber Communications Conference and Exhibition 2022 - San Diego, United States of America Duration: 6 Mar 2022 → 10 Mar 2022 https://ieeexplore.ieee.org/xpl/conhome/9748173/proceeding (Proceedings) |
Conference
Conference | Optical Fiber Communications Conference and Exhibition 2022 |
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Abbreviated title | OFC 2022 |
Country/Territory | United States of America |
City | San Diego |
Period | 6/03/22 → 10/03/22 |
Internet address |