| Presentation | 2024-01-23 [Invited Talk] Research on Novel Binary Neural Processing Elements Using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Superconducting convolutional neural networks, based on single flux quantum (SFQ) circuits, hold significant potential due to their high-speed operation and low power consumption. However, the floating-point multiply and accumulate (MAC) operations used in neural networks are challenging to implement due to the limitations of the integration density of the current SFQ circuit fabrication process. The binary neural network transforms the floating-point MAC operations into exclusive-NOR (XNOR) and bitcount operations by binarizing the weights of the neural networks and the input feature values. Our proposed processing elements (PEs) introduce novel solutions to enhance the circuit area efficiency from two key perspectives. Firstly, the implementation of an in-memory XNOR gate enables efficient in-memory computation, minimizing data transmission between memory and the PE. Secondly, the transformation of the bitcount operation into time-domain addition results in a circuits area reduction. We simulated and estimated the proposed binary in-memory and time-domain PEs which don’t need the weights buffer and have ability to reduce approximate 60% circuits area for the 3x3 binary convolution circuits. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Binary Neural NetworkProcessing ElementsSingle Flux Quantum Circuits |
| Paper # | SCE2023-23 |
| Date of Issue | 2024-01-16 (SCE) |
| Conference Information | |
| Committee | SCE |
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| Conference Date | 2024/1/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Superconducting Electronics |
| Chair | Shigehito Miki(NICT) |
| Vice Chair | |
| Secretary | (Kanazawa Inst. of Tech.) |
| Assistant | Hiroyuki Akaike(Daido Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Superconductive Electronics |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] Research on Novel Binary Neural Processing Elements Using Single Flux Quantum Circuits |
| Sub Title (in English) | |
| Keyword(1) | Binary Neural NetworkProcessing ElementsSingle Flux Quantum Circuits |
| 1st Author's Name | Zeyu Han |
| 1st Author's Affiliation | Yokohama National University(Yokohama National Univ.) |
| 2nd Author's Name | Zongyuan Li |
| 2nd Author's Affiliation | Yokohama National University(Yokohama National Univ.) |
| 3rd Author's Name | Yamanashi Yuki |
| 3rd Author's Affiliation | Yokohama National University(Yokohama National Univ.) |
| 4th Author's Name | Yoshikawa Nobuyuki |
| 4th Author's Affiliation | Yokohama National University(Yokohama National Univ.) |
| Date | 2024-01-23 |
| Paper # | SCE2023-23 |
| Volume (vol) | vol.123 |
| Number (no) | SCE-353 |
| Page | pp.pp.1-6(SCE), |
| #Pages | 6 |
| Date of Issue | 2024-01-16 (SCE) |