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cs.DC2026
HiNa-MoE: High-Performance, Non-Intrusive MoE Inference on CPUs with Matrix Engines
Weiling Yang, Junwen Zhang, Dezun Dong +4
Mixture-of-Experts (MoE) inference is increasingly deployed in local and on-premise environments, where expert parameters often exceed GPU memory capacity. In latency-sensitive, lo…
cs.DC2025
Selection of Supervised Learning-based Sparse Matrix Reordering Algorithms
Tao Tang, Youfu Jiang, Yingbo Cui +4
Sparse matrix ordering is a vital optimization technique often employed for solving large-scale sparse matrices. Its goal is to minimize the matrix bandwidth by reorganizing its ro…