3 citations · 4 across the 4 of their papers we have counts for
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cs.AR2021★ 3 cited
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…