Cambricon-D: Full-Network Differential Acceleration for Diffusion Models

Diffusion models have made significant progress in current image generation tasks, thus becoming a prominent area of research. Diffusion models necessitate repetitive iterations on minimally altered input data across timesteps, each timestep requiring the recalculation of the entire model, resulting...

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Vydané v:	2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA) s. 903 - 914
Hlavní autori:	Kong, Weihao, Hao, Yifan, Guo, Qi, Zhao, Yongwei, Song, Xinkai, Li, Xiaqing, Zou, Mo, Du, Zidong, Zhang, Rui, Liu, Chang, Wen, Yuanbo, Jin, Pengwei, Hu, Xing, Li, Wei, Xu, Zhiwei, Chen, Tianshi
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 29.06.2024
Predmet:	Computational modeling Computer Architecture Diffusion Models Image synthesis Loading Machine Learning Memory architecture Memory management Merging Termination of employment
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