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Gencheng Liu

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Open access Sep 2026

Optimization of Parallel Number Theoretic Transform Algorithms for Multi-Core Digital Signal Processors

The Number Theoretic Transform (NTT), a finite-field variant of FFT, is critical in cryptography and digital signal processing, but its efficiency on FT-M7032 Digital Signal Processors(DSPs) remains suboptimal due to memory bottlenecks and architectural constraints. This paper proposes a tailored optimization framework...

Ding-Xing Xie, Xiao-Chuan Hu, Lin Peng et al. · 0 citations
#graph neural networks Open access Sep 2026

I/O Lower-Bound Theory and Reinforcement Learning for Efficient Neural Network Inference Optimization

An automated optimization framework with a hierarchical two-layer tuning mechanism that synergizes theoretical I/O constraints with graph-level adaptive fusion while accounting for search overhead, the framework systematically explores high-performance execution patterns.

Rui Xia, Gencheng Liu, Quan-Li Li et al. · 0 citations

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