UniCoS: A Unified Neural and Accelerator Co-Search Framework for CNNs and ViTs

Current algorithm-hardware co-search works often suffer from lengthy training times and inadequate exploration of hardware design spaces, leading to suboptimal performance. This work introduces UniCoS, a unified framework for co-optimizing neural networks and accelerators for CNNs and Vision Transfo...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 6
Hauptverfasser:	Fu, Wei, Lou, Wenqi, Tang, Cheng, Wen, Hongbing, Qin, Yunji, Gong, Lei, Wang, Chao, Zhou, Xuehai
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Accuracy Computer architecture Design automation Hardware acceleration hardware software co-exploration heterogeneous multi-core architecture Navigation Neural networks Software Space exploration Training Transformers zero-shot proxy
Online-Zugang:	Volltext
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