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cs.LG2026
LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention
Ziqi Yin, Jianyang Gao, Peiqi Yin +2
Indexer-TopK, which computes scores and selects the top- candidates, is a key primitive in long-context sparse attention for large language models and vector retrieval for recom…
cs.LG2025
Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving
Qihui Zhou, Peiqi Yin, Pengfei Zuo +1
Processing long contexts has become a critical capability for modern large language models (LLMs). However, serving long-context LLMs comes with significant inference costs due to…
cs.LG2022
DGI: Easy and Efficient Inference for GNNs
Peiqi Yin, Xiao Yan, Jinjing Zhou +5
While many systems have been developed to train Graph Neural Networks (GNNs), efficient model inference and evaluation remain to be addressed. For instance, using the widely adopte…