| Presentation | 2023-08-08 Design of a superconducting stochastic memory for large-scale stochastic-computing system Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Stochastic computing-based neural networks (SC-NNs) have been developed for energy-efficient neuromorphic computing. In SC, a stochastic number generator (SNG) is used to convert a binary input into a corresponding stochastic bit stream, namely a stochastic number (SN). In general, an SNG comprises a digital comparator and random number generator (RNG), which requires a relatively large hardware overhead and becomes unsuitable for large-scale SC systems. In the present study, we propose the superconducting stochastic memory (SSM) as a hardware-efficient SNG for SC-based adiabatic quantum-flux-parametron (AQFP) circuits. The SSM has a simple structure comprising a flux storage loop and a QFP, which can generate stochastic bit streams with an arbitrary probability distribution, controlled by the stored flux quanta. We experimentally demonstrate that the probability of 1s in the generated bit stream (i.e., stochastic number) can be controlled by the number and polarity of stored flux quanta. Furthermore, we show that the SSM occupies much less power dissipation of the entire SC system compared with the conventional comparator-based SNG. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | stochastic computingsuperconducting stochastic memory |
| Paper # | SCE2023-7 |
| Date of Issue | 2023-08-01 (SCE) |
| Conference Information | |
| Committee | SCE |
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| Conference Date | 2023/8/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Yokohama National Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| 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 | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Design of a superconducting stochastic memory for large-scale stochastic-computing system |
| Sub Title (in English) | |
| Keyword(1) | stochastic computingsuperconducting stochastic memory |
| 1st Author's Name | Wenhui Luo |
| 1st Author's Affiliation | Yokohama National University(Yokohama Nat’l Univ.) |
| 2nd Author's Name | Naoki Takeuchi |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 3rd Author's Name | Olivia Chen |
| 3rd Author's Affiliation | Tokyo City University(Tokyo City Univ.) |
| 4th Author's Name | Nobuyuki Yoshikawa |
| 4th Author's Affiliation | Yokohama National University(Yokohama Nat’l Univ.) |
| Date | 2023-08-08 |
| Paper # | SCE2023-7 |
| Volume (vol) | vol.123 |
| Number (no) | SCE-153 |
| Page | pp.pp.34-38(SCE), |
| #Pages | 5 |
| Date of Issue | 2023-08-01 (SCE) |