1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AR2021
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation
Liqiang Lu, Naiqing Guan, Yuyue Wang +5
Accelerating tensor applications on spatial architectures provides high performance and energy-efficiency, but requires accurate performance models for evaluating various dataflow…
cs.AR2021★ 1 cited
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra
Liancheng Jia, Zizhang Luo, Liqiang Lu +1
Tensor algebra finds applications in various domains, and these applications, especially when accelerated on spatial hardware accelerators, can deliver high performance and low pow…