Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

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

This repo provides a set of useful functions for operating on sparsely stored arrays. This is extremely useful for significantly reducing storage and minorly improving runtime when you have high ...

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You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

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