The sparse matrix solver has become a bottleneck in simulation program with integrated circuit emphasis (SPICE)-like circuit simulators. It is difficult to parallelize the solver because of the high ...

Given a sparse matrix A, we define and discuss a matrix B that approximates A–1, has exactly the same sparsity structure as A, and varies contravariantly with A. Unlike many other sparse inverse ...

Achieving high performance for Sparse Matrix-Matrix Multiplication (SpMM) has received increasing research attention, especially on multi-core CPUs, due to the large input data size in applications ...

Are all sparse matrix multiplications reduced to pytorch native sparse matrix multiplications? torch-sparse implements its own sparse-dense matrix multiplication, which is usually quite a bit faster ...

A class assignment from my Programming Fundamentals C++ Class. This was a fun exercise. At the core, we were somewhat creating a linked list despite not knowing its importance. Data, function headers, ...