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Author

Shang-Shang Yao

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Oct 2026

SpMM-GO: Sparse Matrix-Matrix Multiplication Acceleration via Hybrid Gustavson and Outer-Product Dataflows

Sparse matrix-matrix multiplication (SpMM) is critical for graph analytics and learning tasks, yet its irregular sparsity poses challenges for hardware acceleration. Traditional static dataflows fail to adapt to local sparsity variations, causing load imbalance. We introduce SpMM-GO, a hybrid FPGA accelerator integrati...

Shang-Shang Yao, Yan Yan, Zuo-Ning Chen · 0 citations
Preprint Aug 2026

StateTune: Transforming LLM-Assisted EDA Flow Tuning into a Stateful, Closed-Loop Process

EDA flow parameter tuning is critical for quality-of-results~(QoR), yet the parameter space is large, tightly coupled, and full evaluations are prohibitively expensive. Prior LLM-assisted tuners mainly use the LLM as an external proposer with transient working context; we instead present \textbf{StateTune}, which refor...

Kunlong Li, Shangshang Yao, Su Zheng et al. · 0 citations

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