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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Kai-Fan Jia

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Book Open access Sep 2026

AFH-SpMM: Auto-Fit Heterogeneous Block Sparse-Dense Matrix Multiplication on Tensor Core GPUs

AFH-SpMM is a novel Auto-Fit Heterogeneous SpMM framework designed for adaptively parallelizing sparse-dense matrix multiplication on Tensor Core-equipped GPUs that achieves average speedups of 1.33 ×, and often leads cuSPARSE, ASpT, Sputnik, RoDe, Acc-SpMM, and MP-SpMM, with especially strong gains on medium and large...

Zhi-Rui Chen, Heng Zhang, Kai-Fan Jia · 0 citations
Book Open access Sep 2026

AFH-SpMM: Auto-Fit Heterogeneous Block Sparse-Dense Matrix Multiplication on Tensor Core GPUs

Sparse-dense matrix multiplication (SpMM), a fundamental computational kernel in graph analytics and scientific computing, can be substantially accelerated on modern GPUs by leveraging both dense and sparse Tensor Core units, thereby enabling high-throughput computation. However, existing methods often fail to exploit...

Zhi-Rui Chen, Heng Zhang, Kai-Fan Jia · 0 citations

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