Zobrazeno 1 - 10
of 314
pro vyhledávání: '"Yin, Zihan"'
Autor:
Yin, Zihan, Jaiswal, Akhilesh
The rapid advancement of neural network applications necessitates hardware that not only accelerates computation but also adapts efficiently to dynamic processing requirements. While processing-in-pixel has emerged as a promising solution to overcome
Externí odkaz:
http://arxiv.org/abs/2408.10233
Publikováno v:
SIGMA 20 (2024), 056, 26 pages
In this paper, the Talbot effect for the multi-component linear and nonlinear systems of the dispersive evolution equations on a bounded interval subject to periodic boundary conditions and discontinuous initial profiles is investigated. Firstly, for
Externí odkaz:
http://arxiv.org/abs/2311.07195
In this paper, the dispersive revival and fractalization phenomena for bidirectional dispersive equations on a bounded interval subject to periodic boundary conditions and discontinuous initial profiles are investigated. Firstly, we study the periodi
Externí odkaz:
http://arxiv.org/abs/2309.14890
Security and energy-efficiency are critical for computing applications in general and for edge applications in particular. Digital in-Memory Computing (IMC) in SRAM cells have widely been studied to accelerate inference tasks to maximize both through
Externí odkaz:
http://arxiv.org/abs/2309.03204
Publikováno v:
Zhejiang dianli, Vol 43, Iss 8, Pp 47-56 (2024)
Hybrid DC transmission systems are prone to DC current oscillations as the parameters of constant DC current controller increase, an oscillation suppression strategy based on virtual resistance is proposed. This strategy generates an additional vol
Externí odkaz:
https://doaj.org/article/77cc0acd9a9f4a508f00da35e43e141e
Autor:
Kaiser, Md Abdullah-Al, Datta, Gourav, Sarkar, Sreetama, Kundu, Souvik, Yin, Zihan, Garg, Manas, Jacob, Ajey P., Beerel, Peter A., Jaiswal, Akhilesh R.
Publikováno v:
GLSVLSI '23: Great Lakes Symposium on VLSI 2023 Proceedings
The massive amounts of data generated by camera sensors motivate data processing inside pixel arrays, i.e., at the extreme-edge. Several critical developments have fueled recent interest in the processing-in-pixel-in-memory paradigm for a wide range
Externí odkaz:
http://arxiv.org/abs/2304.02968
Autor:
Cai, Zhengyang, Luan, Chunyang, Ou, Lingfeng, Tu, Hengchao, Yin, Zihan, Zhang, Jing-Ning, Kim, Kihwan
The trapped-ion system has been a leading platform for practical quantum computation and quantum simulation since the first scheme of a quantum gate was proposed by Cirac and Zoller in 1995. Quantum gates with trapped ions have shown the highest fide
Externí odkaz:
http://arxiv.org/abs/2302.02148
Autor:
Datta, Gourav, Liu, Zeyu, Kaiser, Md Abdullah-Al, Kundu, Souvik, Mathai, Joe, Yin, Zihan, Jacob, Ajey P., Jaiswal, Akhilesh R., Beerel, Peter A.
Due to the high activation sparsity and use of accumulates (AC) instead of expensive multiply-and-accumulates (MAC), neuromorphic spiking neural networks (SNNs) have emerged as a promising low-power alternative to traditional DNNs for several compute
Externí odkaz:
http://arxiv.org/abs/2212.10881
In order to deploy current computer vision (CV) models on resource-constrained low-power devices, recent works have proposed in-sensor and in-pixel computing approaches that try to partly/fully bypass the image signal processor (ISP) and yield signif
Externí odkaz:
http://arxiv.org/abs/2210.05451
Autor:
Yin, Zihan, Kaiser, Md Abdullah-Al, Camara, Lamine Ousmane, Camarena, Mark, Parsa, Maryam, Jacob, Ajey, Schwartz, Gregory, Jaiswal, Akhilesh
Neuromorphic image sensors draw inspiration from the biological retina to implement visual computations in electronic hardware. Gain control in phototransduction and temporal differentiation at the first retinal synapse inspired the first generation
Externí odkaz:
http://arxiv.org/abs/2208.12707