3 papers
cs.DC2026
Do We Need Tensor Cores for Stencil Computations?
Qiqi Gu, Chenpeng Wu, Heng Shi +2
Stencil computation constitutes a cornerstone of scientific computing, serving as a critical kernel in domains ranging from fluid dynamics to weather simulation. While stencil comp…
cs.DC2025
SPIDER: Unleashing Sparse Tensor Cores for Stencil Computation via Strided Swapping
Qiqi GU, Chenpeng Wu, Heng Shi +1
Recent research has focused on accelerating stencil computations by exploiting emerging hardware like Tensor Cores. To leverage these accelerators, the stencil operation must be tr…
cs.LG2025
Samoyeds: Accelerating MoE Models with Structured Sparsity Leveraging Sparse Tensor Cores
Chenpeng Wu, Qiqi Gu, Heng Shi +2
The escalating size of Mixture-of-Experts (MoE) based Large Language Models (LLMs) presents significant computational and memory challenges, necessitating innovative solutions to e…