If folks have libraries who are using SciPy sparse matrices, and you'd like help converting them to run/work with sparse array, this sounds like a nice opportunity to work that out. I wrote a ...

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 ...

In this paper, we present a new channel coding technique, namely sparse matrix codes (SMC), for URLLC applications with the goal of achieving higher reliability, and low decoding complexity. The main ...

Sympiler is a domain-specific code generator that optimizes sparse matrix computations by decoupling the symbolic analysis phase from the numerical manipulation stage in sparse codes. The computation ...

I'm trying to convert a huge scipy csc_matrix (27998 x 1306127, int32) to a persistent zarr array. Here is the code I'm using: However, this fails because scipy cannot convert sparse matrices with ...

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 ...