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 ...
Abstract: Sparse-sparse matrix multiplication (SpGEMM) is a well-studied problem on CPUs, GPUs, accelerators (e.g. FPGAs), and distributed systems. The main computational bottleneck in SpGEMM is the ...
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This repository contains the source code of SPIDER, a novel system to converting stencil computation into sparse matrix multiplication using Sparse Tensor Core (SpTC). CUDA (12.8 Tested). Should ...
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