activity
20202026
most citedThe Deep Learning Compiler: A Comprehensive Survey

213 citations · 213 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

ForgeStencil: Automating Per-Case Stencil Specialization from Kernels to 100+ Real Applications

Yaojian Chen, Yuxuan Li, Wubing Wan +3

Industrial and scientific computing rests on a few core kernels, and the stencil is among the most widely used: weather and climate models, seismic imaging, fluid dynamics, and ima…

cs.DC2026

Beyond Fast Contractions: Attenuation and Recovery of Matrix-Engine Speedups in High-Order Finite Elements

Yinuo Wang, Lin Gan, Tianqi Mao +8

Modern processors increasingly provide matrix engines whose peak arithmetic throughput greatly exceeds conventional SIMD, but scientific applications rarely realize this advantage…

cs.DC2026

High-Order Spectral Element Methods for Wave Propagation on ARM Multicore CPU with SME: Optimizations and Implications

Yinuo Wang, Lin Gan, Tianqi Mao +5

Wave propagation based on the spectral element method (SEM) is a representative HPC workload, but existing SEM implementations are not well matched to emerging ARM multicore CPUs w…

cs.DC2025

MMStencil: Optimizing High-order Stencils on Multicore CPU using Matrix Unit

Yinuo Wang, Tianqi Mao, Lin Gan +8

Matrix-accelerated stencil computation is a hot research topic, yet its application to three-dimensional (3D) high-order stencils and HPC remains underexplored. With the emergence…

cs.DC2020★ 213 cited

The Deep Learning Compiler: A Comprehensive Survey

Mingzhen Li, Yi Liu, Xiaoyan Liu +7

The difficulty of deploying various deep learning (DL) models on diverse DL hardware has boosted the research and development of DL compilers in the community. Several DL compilers…