Author

Yu-Zhe Fu

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Preprint Sep 2026

Vortex: Bridging Extreme Compression and Efficient LLM Inference

This study addresses challenges with Vortex, an architecture compatible with systolic-array-based accelerators with minimal hardware overhead, bridging the gap between extreme compression and efficient inference, and proposes codebook-wise contextual sparsity to align with VQ execution.

Haoxuan Shan, Cong Guo, Bo-Wen Duan et al. · 0 citations