GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

The remarkable capabilities and intricate nature of Artificial Intelligence (AI) have dramatically escalated the imperative for specialized AI accelerators. Nonetheless, designing these accelerators for various AI workloads remains both labor- and time-intensive. While existing design exploration an...

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Vydané v:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design s. 1 - 9
Hlavní autori:	Fu, Yonggan, Zhang, Yongan, Yu, Zhongzhi, Li, Sixu, Ye, Zhifan, Li, Chaojian, Wan, Cheng, Lin, Yingyan Celine
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 28.10.2023
Predmet:	AI accelerators Catalysts Computational modeling Design automation Large Language Models Natural languages Pipelines Technological innovation
ISSN:	1558-2434
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