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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Bibliographic Details

Published in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design pp. 1 - 9
Main Authors:	Fu, Yonggan, Zhang, Yongan, Yu, Zhongzhi, Li, Sixu, Ye, Zhifan, Li, Chaojian, Wan, Cheng, Lin, Yingyan Celine
Format:	Conference Proceeding
Language:	English
Published:	IEEE 28.10.2023
Subjects:	AI accelerators Catalysts Computational modeling Design automation Large Language Models Natural languages Pipelines Technological innovation
ISSN:	1558-2434
Online Access:	Get full text
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