Zobrazeno 1 - 10
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pro vyhledávání: '"Yung Chin"'
SRAM-based Analog Compute-in-Memory (ACiM) demonstrates promising energy efficiency for deep neural network (DNN) processing. Although recent aggressive design strategies have led to successive improvements on efficiency, there is limited discussion
Externí odkaz:
http://arxiv.org/abs/2411.11022
This paper presents a tutorial and review of SRAM-based Compute-in-Memory (CIM) circuits, with a focus on both Digital CIM (DCIM) and Analog CIM (ACIM) implementations. We explore the fundamental concepts, architectures, and operational principles of
Externí odkaz:
http://arxiv.org/abs/2411.06079
Autor:
Zhang, Wenlun, Ando, Shimpei, Chen, Yung-Chin, Miyagi, Satomi, Takamaeda-Yamazaki, Shinya, Yoshioka, Kentaro
Publikováno v:
IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2024)
Approximate computing emerges as a promising approach to enhance the efficiency of compute-in-memory (CiM) systems in deep neural network processing. However, traditional approximate techniques often significantly trade off accuracy for power efficie
Externí odkaz:
http://arxiv.org/abs/2408.16246
Autor:
Chen, Yung-Chin, Ando, Shimpei, Fujiki, Daichi, Takamaeda-Yamazaki, Shinya, Yoshioka, Kentaro
To address the 'memory wall' problem in NN hardware acceleration, we introduce HALO-CAT, a software-hardware co-design optimized for Hidden Neural Network (HNN) processing. HALO-CAT integrates Layer-Penetrative Tiling (LPT) for algorithmic efficiency
Externí odkaz:
http://arxiv.org/abs/2312.06086
Autor:
Chen, Yung-Chin, Ando, Shimpei, Fujiki, Daichi, Takamaeda-Yamazaki, Shinya, Yoshioka, Kentaro
Computing-in-Memory (CIM) has shown great potential for enhancing efficiency and performance for deep neural networks (DNNs). However, the lack of flexibility in CIM leads to an unnecessary expenditure of computational resources on less critical oper
Externí odkaz:
http://arxiv.org/abs/2308.15040
Autor:
Shih-Ting Huang, Tusty-Jiuan Hsieh, Yung-Chin Lee, Chia-Fang Wu, Yi-Chun Tsai, Chu-Chih Chen, Sih-Syuan Li, Jiun-Hung Geng, Yu-Ming Hsu, Che-Wei Chang, Yau-Hsuan Tsau, Shu-Pin Huang, Yung-Shun Juan, Wen-Jeng Wu, Ming-Tsang Wu, Chia-Chu Liu
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 287, Iss , Pp 117322- (2024)
Background: Phthalates, ubiquitous in plastics and softening agents, are pervasive in our daily environment. Growing concerns have emerged regarding their potential impact on renal health, particularly due to their propensity to induce oxidative stre
Externí odkaz:
https://doaj.org/article/b744298f3d2949e5bd7da1aa895ecbcc
Publikováno v:
American Journal of Men's Health, Vol 18 (2024)
Accumulating evidence suggests a link between vascular endothelial growth factor (VEGF), erectile dysfunction (ED), and metabolic syndrome (Mets), possibly because VEGF can alter the physiological pathways involved in the regulation of endothelial ce
Externí odkaz:
https://doaj.org/article/dd63db24f9af4404a7cd4b6bce210ade
Autor:
Huang, Shih-Ting, Hsieh, Tusty-Jiuan, Lee, Yung-Chin, Wu, Chia-Fang, Tsai, Yi-Chun, Chen, Chu-Chih, Li, Sih-Syuan, Geng, Jiun-Hung, Hsu, Yu-Ming, Chang, Che-Wei, Tsau, Yau-Hsuan, Huang, Shu-Pin, Juan, Yung-Shun, Wu, Wen-Jeng, Wu, Ming-Tsang, Liu, Chia-Chu
Publikováno v:
In Ecotoxicology and Environmental Safety 15 November 2024 287
Autor:
Wu, Pei-Shan, Chao, Hsin, Lin, Shih-Jie, Yang, Yung-Chin, Hou, Chun-Wei, Lee, Jyh-Wei, Lou, Bih-Show
Publikováno v:
In Surface & Coatings Technology 30 October 2024 494 Part 3
Autor:
Chang-Le Chen, Shao-Ying Cheng, Leila Montaser-Kouhsari, Wen-Chao Wu, Yung-Chin Hsu, Chun-Hwei Tai, Wen-Yih Isaac Tseng, Ming-Che Kuo, Ruey-Meei Wu
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Patients with Parkinson’s disease and cognitive impairment (PD-CI) deteriorate faster than those without cognitive impairment (PD-NCI), suggesting an underlying difference in the neurodegeneration process. We aimed to verify brain age diff
Externí odkaz:
https://doaj.org/article/8a70ded392c043498810eec48e208602