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 ...

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 ...

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 ...

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

The “Great American State Fair” kicked off last Thursday in Washington, D.C. While the event was ostensibly a celebration of the nation’s 250th anniversary, like so much in President Donald Trump’s ...

Knowing your multiplication facts is very useful, but what happens when the numbers you are multiplying are greater than those in your multiplication tables? You will need to calculate using a column ...