FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction

Yubin Qin, Yang Wang, Dazheng Deng, Zhiren Zhao, Xiaolong Yang, Leibo Liu, Shaojun Wei, Yang Hu 0001, Shouyi Yin. FACT: FFN-Attention Co-optimized Transformer Architecture with Eager Correlation Prediction. In Yan Solihin, Mark A. Heinrich, editors, Proceedings of the 50th Annual International Symposium on Computer Architecture, ISCA 2023, Orlando, FL, USA, June 17-21, 2023. ACM, 2023. [doi]

Abstract

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