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 ...
ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
I'm looking to train a XML classifier on the PubMed dataset. I found out after some research that Parabel is the fastest. So far, I was able to make it work on toy dataset Eur-Lex. Now, I'm trying to ...
“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...
Abstract: Based on the simulation of the combination of Python and C language, this paper simulates the dynamic scheduling of redundant nodes in the sparse multipath channel of the communication ...
Graduate School of Chinese Academy of Engineering Physics, Beijing, China. Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing,China. School of ...
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