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SoCs with analog-circuit-based unsigned weight-accumulating spiking neural networks (UWA-SNNs) are a highly promising solution for achieving low-power AI-SoCs. This paper addresses the challenges that must be overcome to realize the potential of UWA-SNNs in low-power AI-SoCs: (i) the absence of UWA-SNN learning methods and the lack of an environment for developing applications based on trained SNN models and (ii) the inherent issue of testing and validating applications on the system being nearly impractical until the final chip is fabricated owing to the mixed-signal circuit implementation of UWA-SNN-based SoCs. This paper argues that, by integrating the proposed solutions, the development of an EDA tool that enables the easy and rapid development of UWA-SNN-based SoCs is feasible, and demonstrates this through the development of the SNN eXpress (SNX) tool. The developed SNX automates the generation of RTL code, FPGA prototypes, and a software development kit tailored for UWA-SNN-based application development. Comprehensive details of SNX development and the performance evaluation and verification results of two AI-SoCs developed using SNX are also presented.

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기사명 저자명 페이지 원문 목차
Trends in quantum reinforcement learning : state-of-the-arts and the road ahead Soohyun Park, Joongheon Kim p. 748-758

Optimal execution of logical Hadamard with low-space overhead in rotated surface code Sang-Min Lee, Ki-Sung Jin, Soo-Cheol Oh, Jin-Ho On, Gyu-Il Cha p. 759-773

Quantum electrodynamical formulation of photochemical acid generation and its implications on optical lithography Seungjin Lee p. 774-782

Fabrication of low-loss symmetrical rib waveguides based on x-cut lithium niobate on insulator for integrated quantum photonics Hong-Seok Kim, Guhwan Kim, Tetiana Slusar, Jinwoo Kim, Jiho Park, Jaegyu Park, Hyeon Hwang, Woojin Noh, Hansuek Lee, Min-Kyo Seo, Kiwon Moon, Jung Jin Ju p. 783-792

Metaheuristic optimization scheme for quantum kernel classifiers using entanglement-directed graphs Yozef Tjandra, Hendrik Santoso Sugiarto p. 793-805

Free-space quantum key distribution transmitter system using WDM filter for channel integration Minchul Kim, Kyongchun Lim, Joong-Seon Choe, Byung-Seok Choi, Kap-Joong Kim, Ju Hee Baek, Chun Ju Youn p. 806-816

PF-GEMV : utilization maximizing architecture in fast matrix–vector multiplication for GPT-2 inference Hyeji Kim, Yeongmin Lee, Chun-Gi Lyuh p. 817-828

SNN eXpress : streamlining low-power AI-SoC development with unsigned weight accumulation spiking neural network Hyeonguk Jang, Kyuseung Han, Kwang-Il Oh, Sukho Lee, Jae-Jin Lee, Woojoo Lee p. 829-838

XEM : tensor accelerator for AB21 supercomputing artificial intelligence processor Won Jeon, Mi Young Lee, Joo Hyun Lee, Chun-Gi Lyuh p. 839-850

NEST-C : a deep learning compiler framework for heterogeneous computing systems with artificial intelligence accelerators Jeman Park, Misun Yu, Jinse Kwon, Junmo Park, Jemin Lee, Yongin Kwon p. 851-864

Mixed-mode SNN crossbar array with embedded dummy switch and mid-node pre-charge scheme Kwang-Il Oh, Hyuk Kim, Taewook Kang, Sung-Eun Kim, Jae-Jin Lee, Byung-Do Yang p. 865-877

Asynchronous interface circuit for nonlinear connectivity in multicore spiking neural networks Sung-Eun Kim, Kwang-Il Oh, Taewook Kang, Sukho Lee, Hyuk Kim, Mi-Jeong Park, Jae-Jin Lee p. 878-889

AONet : attention network with optional activation for unsupervised video anomaly detection Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Bahar Amirian Varnousefaderani, Jeonghong Kim p. 890-903

Multistage interference cancellation for cyclic interleaved frequency division multiplexing G. Anuthirsha, S. Lenty Stuwart p. 904-914

Air quality index prediction using seasonal autoregressive integrated moving average transductive long short-term memory Subramanian Deepan, Murugan Saravanan p. 915-927

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