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News/Spectral Analysis for Sparse Matrix Computation: Insights and Potential
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Spectral Analysis for Sparse Matrix Computation: Insights and Potential

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arXiv:2608.29362v1 Announce Type: cross Abstract: Sparse computations are fundamental to scientific computing, graph analytics, and machine learning, yet their performance is highly sensitive to the diverse sparsity and patterns. This is because cache reuse, memory coalescing, and load balancing dep

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