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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Wenming Li

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Open access Aug 2026

M^2 -DFU: Multi-Mode Dataflow Architecture for Adaptive and High-Efficiency Data Processing

The impending end of Moore’s Law and Dennard Scaling has prompted a shift in both industry and academia from general-purpose processors (e.g., CPUs and GPGPUs) toward specialized solutions. However, the diverse hardware requirements of edge computing make it challenging for existing specialized architectures to adapt t...

Wen-Ming Li, Zhihua Fan, Haibin Wu et al. · 0 citations
Open access Aug 2026

ESR-HGNN: Eliminating Semantic Redundancy for Efficient Mini-Batch HGNN Inference

This work proposes a redundancy-aware HGNN sampling paradigm that leverages a metapath trie to reuse traversal paths, effectively eliminating redundant memory accesses and introduces a reusability-driven metapath grouping technique that optimally clusters metapaths to maximize reusable traversal paths within hardware c...

Dengke Han, Mingyu Yan, Duo Wang et al. · 0 citations
Jun 2026

MLX: Multi-Layer Execution for Structured LLM Workload Acceleration on Spatial Architectures

Structured sparsity is a promising approach to scaling large-language-model (LLM) inference, but existing forms such as butterfly-structured sparse projections and transformations often map inefficiently to GPUs due to deep stage dependencies and limited bulk parallelism. This paper presents MLX, an algorithm–architect...

Haibin Wu, Wenming Li, Zhihua Fan et al. · 0 citations

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