VBCSR is a high-performance distributed sparse matrix library designed for efficiency and ease of use. It combines the speed of optimized C++ kernels with the flexibility of Python.

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Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...

Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...