Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Yan, Bonan"'
Autor:
Duan, Cenlin, Yang, Jianlei, Wang, Yiou, Wang, Yikun, Qi, Yingjie, He, Xiaolin, Yan, Bonan, Wang, Xueyan, Jia, Xiaotao, Zhao, Weisheng
Bit-level sparsity in neural network models harbors immense untapped potential. Eliminating redundant calculations of randomly distributed zero-bits significantly boosts computational efficiency. Yet, traditional digital SRAM-PIM architecture, limite
Externí odkaz:
http://arxiv.org/abs/2404.09497
Publikováno v:
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
RRAM crossbars have been studied to construct in-memory accelerators for neural network applications due to their in-situ computing capability. However, prior RRAM-based accelerators show efficiency degradation when executing the popular attention mo
Externí odkaz:
http://arxiv.org/abs/2401.17582
Autor:
Cong, Rongqing, He, Wenyang, Li, Mingxuan, Luo, Bangning, Yang, Zebin, Yang, Yuchao, Huang, Ru, Yan, Bonan
Large language models (LLMs) with Transformer architectures have become phenomenal in natural language processing, multimodal generative artificial intelligence, and agent-oriented artificial intelligence. The self-attention module is the most domina
Externí odkaz:
http://arxiv.org/abs/2401.11459
Autor:
Duan, Cenlin, Yang, Jianlei, He, Xiaolin, Qi, Yingjie, Wang, Yikun, Wang, Yiou, He, Ziyan, Yan, Bonan, Wang, Xueyan, Jia, Xiaotao, Pan, Weitao, Zhao, Weisheng
Processing-in-memory (PIM), as a novel computing paradigm, provides significant performance benefits from the aspect of effective data movement reduction. SRAM-based PIM has been demonstrated as one of the most promising candidates due to its enduran
Externí odkaz:
http://arxiv.org/abs/2310.20424
Autor:
Yu, Lianfeng, Tao, Yaoyu, Zhang, Teng, Wang, Zeyu, Wang, Xile, Pan, Zelun, Wang, Bowen, Jing, Zhaokun, Liu, Jiaxin, Li, Yuqi, Zhu, Yihang, Yan, Bonan, Yang, Yuchao
Sorting is fundamental and ubiquitous in modern computing systems. Hardware sorting systems are built based on comparison operations with Von Neumann architecture, but their performance are limited by the bandwidth between memory and comparison units
Externí odkaz:
http://arxiv.org/abs/2309.10350
Markov chain Monte Carlo (MCMC) is a widely used sampling method in modern artificial intelligence and probabilistic computing systems. It involves repetitive random number generations and thus often dominates the latency of probabilistic model compu
Externí odkaz:
http://arxiv.org/abs/2307.10866
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 8-16 (2024)
Atopic dermatitis (AD) is a relapsing inflammatory skin condition that has become a global health issue with complex etiology and mounting prevalence. The association of AD with skin and gut microbiota has been revealed by virtue of the continuous de
Externí odkaz:
https://doaj.org/article/f2caaf10f65f4d8cb59eec1ed55bffc6
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Akademický článek
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The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. %, due to the intensive data movements. The decade-old idea of leveraging in-memory processing to elimina
Externí odkaz:
http://arxiv.org/abs/1906.06603