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Jianian Zhu

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#small language model Preprint Sep 2026

Epoch: Compiling Diffusion Blocks for Sparse MoE Serving

A serving system that treats the diffusion block as a compilation unit that improves end-to-end execution time by up to 2.7 times over the strongest surviving baseline under the same 8-GPU placement and remains feasible at the largest batch sizes where multiple baselines run out of memory, while preserving task quality relative to the dense reference.

Jia-Nian Zhu, Hang Wu, Ying-Hui Li et al. · 0 citations
Book Open access Jul 2026

Taming Dynamic Diffusion LLM Inference through Virtual Static Execution

Prism abstracts the highly dynamic diffusion workload into a predictable, static execution flow transparent to the compiler, and achieves this via three techniques: spatial regularization, temporal stabilization, and specialized kernels that selectively bypass padding data.

Jianian Zhu, Hang Wu, Yinghui Li et al. · 0 citations

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