Author

Mao-Hua Nie

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Preprint Oct 2026

Step-dLLM: Adaptive Step-aware Sparse Attention for Efficient Diffusion LLM Inference

Diffusion large language models (dLLMs) generate tokens in parallel via iterative denoising, but their bidirectional attention prevents the KV caching used by autoregressive models and recomputes the full attention map at every step, incurring quadratic per-step cost. Existing sparse attention methods for dLLMs constru...

Zhi-Chen Zeng, Xi-Chong Zhang, Jun-Pan Wu et al. · 0 citations

Preprint Oct 2026

CacheFlex: Direct Software-Managed Access to Higher-Level Cache for Scalable Vector Support

Wider vector/SIMD lanes multiply compute throughput, but cache improvements remain challenging. We identify L1 data cache capacity as the most impactful parameter for performance and efficiency. L1 capacity is constrained by pipeline coupling and latency requirements; private L2 offers an order of magnitude more capaci...

Jing-Qun Zhang, Mao-Hua Nie, Jia-Yi Wang et al. · 0 citations