Abstract: Sparse general matrix-matrix multiplication (SpGEMM) is a key operation in scientific computing, graph analytics, and machine learning. Despite extensive optimization efforts on GPUs and ...

Abstract: In this paper, we propose a fast sparse Nonnegative Matrix Factorization algorithm incorporating manifold identification techniques. Within an alternating update framework, it adaptively ...

This PyTorch extension provides a drop-in replacement for torch.nn.Linear using block sparse matrices instead of dense ones. It enables very easy experimentation with sparse matrices since you can ...

This package uses the Matrix package as well as standard base R to generate Markov traces for models of successive tunnel states. Within a given health state, patients can do one of three things: This ...

Learn how to multiplying decimals by integers. Divide decimals by 10, 100 and 1,000 Find out how to use place value charts to work with decimals and convert measures, length, and pence into pounds.