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 ...

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

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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 ...

2 Department of Preventive Medicine, Shantou University Medical College, Shantou, China Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two ...

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 ...

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 ...

We will show some illustrative timings of our sparse code and compare it to the standard library implementation and a recent sparse implementation using thresholding. We conclude with some comments on ...