21 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Yujia Zhai, Chengquan Jiang, Leyuan Wang +5
Transformers have become keystone models in natural language processing over the past decade. They have achieved great popularity in deep learning applications, but the increasing…
cs.DC2021★ 21 cited
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance
Jiarong Xing, Leyuan Wang, Shang Zhang +3
Today's auto-tuners (e.g., AutoTVM, Ansor) generate efficient tensor programs by navigating a large search space to identify effective implementations, but they do so with opaque h…