🐛 Describe the bug The minimal reproducible code is described below. Consider a standard autocast training framework, where a weight matrix is a learnable parameter stored in float type; and input is ...

Describe your issue. have just upgraded from 1.15 to 1.16, but rand across an issue with CSC matrices and multiplication. Demonstration of scipy sparse matrix multiply bug affecting CSC matrix indp ...

SpMV: Sparse Matrix–Vector Multiplication, a core operation in many numerical algorithms where a sparse matrix is multiplied by a vector.

Sparse-matrix dense-matrix multiplication (SpMM) receives one sparse matrix and one dense matrix as two inputs, and outputs one dense matrix as a result. It plays a vital role in various fields such ...

General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing. However, ...

In particular, we extend the DBCSR sparse matrix library, which is the basic building block for linear scaling electronic structure theory and low scaling correlated methods in CP2K. The library is ...

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...

By exploiting the intrinsic balance characteristic of N:M sparsity, nmSPARSE kernels rearrange irregular computation and scattered memory accesses in sparse matrix multiplication into hardware-aligned ...