Sparse matrices underpin a vast range of scientific and engineering applications, from finite element analysis and computational fluid dynamics to graph processing and machine learning. By encoding ...

Abstract: 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 green, falling digital code depicted as rain in the film "The Matrix" consisted of Japanese sushi recipes. Rating: Mixture (About this rating?) What's True: Simon Whiteley, the production designer ...

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 ...

Key Laboratory of Leather Chemistry and Engineering (Sichuan University), Ministry of Education, Chengdu 610065, China Research Center of Biomedical Engineering, Sichuan University, Chengdu, Sichuan ...

Abstract: We introduce two generalizations to the paradigm of using Random Khatri-Rao Product (RKRP) codes for distributed matrix multiplication. We first introduce a class of codes called Sparse ...

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 ...

Optical computing uses photons instead of electrons to perform computations, which can significantly increase the speed and energy efficiency of computations by overcoming the inherent limitations of ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In their work, the authors confirmed three vital ...