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cs.CV2026
SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference
Shanghao Liu, Renze Chen, Size Zheng +4
Video diffusion transformers (vDiTs) generate high quality but pay quadratic self-attention cost, making inference prohibitive at video-token scales. The challenge is input-adaptiv…
cs.PL2026
DITRON: Distributed Multi-level Tiling Compiler for Parallel Tensor Programs
Size Zheng, Xuegui Zheng, Hanshi Sun +16
The scaling of large language models (LLMs) is currently bottlenecked by the rigidity of distributed programming. While high-performance libraries like CuBLAS and NCCL provide opti…
cs.AR2026
TokenStack: A Heterogeneous HBM-PIM Architecture and Runtime for Efficient LLM Inference
Zhuoran Li, Zhuohang Bian, Zihao Huang +4
Large language model (LLM) serving is now limited by the key-value (KV) cache. During decode, each new token rereads prior KV state, so attention becomes a bandwidth- and capacity-…