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Author

Zongle Huang

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Preprint Oct 2026

RapidMoE: Exploiting Cross-Asymmetry via Adaptive Residual Offloading for Large-Scale MoE Inference

The widespread adoption of Mixture-of-Experts (MoE) has created a growing need for deployment on heterogeneous platforms. However, it exposes a fundamental mismatch between the algorithmic demands of large-scale MoE and the disparate characteristics of hardware.Existing CPU-GPU hybrid inference systems fail to resolve...

Wen-Xun Wang, Li-Kai Ma, Zong-Le Huang et al. · 0 citations
Jul 2026

Application-Driven Architecture Exploration for Cross-Layer Heterogeneous Systems

End-to-end case studies show that sparse workloads favor criticality-aware heterogeneous pods, whereas LLM inference favors scale-up islands; the resulting designs deliver 6.20 and 2.12 geomean speedups, respectively, while reducing cost and power relative to the baselines.

Yu-Chen Fan, Minghong Sun, Ji-Kui Ma et al. · 0 citations

TriM-D: Accelerating 2-D/3-D Diffusion Generation Via Triple-Mixed Quantization and Sparsity-Aware Dual-Branched Computation

Diffusion models have shown marked advancements in 2-D generation and have also become focal points in 3-D generation via consistent multiview image generation. However, the computation and memory demands hinder their real-time deployment on mobile and edge devices. Moreover, the reduction of diffusion timesteps leads...

Wenxun Wang, Li-Kai Ma, Chen Tang et al. · 0 citations

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