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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: We propose a class of codes, referred to as staircase matrix codes (SMCs), which have staircase-like generator matrices or parity-check matrices. We illustrate that polar codes and ...
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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