StructILU: Dependency-Preserving Incomplete LU with Hierarchical Parallelism for Structured Grid PDEs on GPUs

Hao Luo, Qianchao Zhu, Xiaochen Hao, Chunxi Lei, Chengdi Ma, Chenchen Zhang, Yun Liang, Chao Yang · 2025

The Incomplete LU (ILU) computation is a crucial component for solving large-scale sparse linear systems arising from partial differential equations (PDEs), many of which are discretized on structured grids.However, due to inherent loop-carried data dependencies in ILU computation, implementing it on GPUs with massive computing units poses significant challenges.Existing methods either experience

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