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Book Open access Sep 2026

CoTC-SpMM: A Cooperative Tensor–CUDA Cores Scheme for Efficient Sparse Matrix Multiplication

CoTC-SpMM is introduced, a cooperative Tensor–CUDA cores scheme for efficient SpMM on GPUs that first proposes the HTC format to partition sparse matrices into dense and sparse components, enabling specialized kernels to leverage the distinct advantages of different computing units and maximize hardware utilization.

Qi Du, Sheng-Le Lin, Yue-Dan Chen et al. · 0 citations
Book Open access Sep 2026

CoTC-SpMM: A Cooperative Tensor–CUDA Cores Scheme for Efficient Sparse Matrix Multiplication

Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in scientific computing and artificial intelligence. However, the inherent sparsity and irregularity of real-world datasets present significant challenges for developing high-performance SpMM kernels on modern GPUs. Existing approaches typically focu...

Qi Du, Shengle Lin, Yuedan Chen et al. · 0 citations

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