2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
Zixuan Ma, Haojie Wang, Jingze Xing +7
Deep neural networks (DNNs) are of critical use in different domains. To accelerate DNN computation, tensor compilers are proposed to generate efficient code on different domain-sp…
cs.LG2022
OLLIE: Derivation-based Tensor Program Optimizer
Liyan Zheng, Haojie Wang, Jidong Zhai +7
Boosting the runtime performance of deep neural networks (DNNs) is critical due to their wide adoption in real-world tasks. Existing approaches to optimizing the tensor algebra exp…
cs.DC2022
Mat2Stencil: A Modular Matrix-Based DSL for Explicit and Implicit Matrix-Free PDE Solvers on Structured Grid
Huanqi Cao, Shizhi Tang, Qianchao Zhu +2
Partial differential equation (PDE) solvers are extensively utilized across numerous scientific and engineering fields. However, achieving high performance and scalability often ne…