This project implements various sparse matrix computations in CUDA and C++. It includes conversion routines between sparse matrix formats and efficient CUDA kernels for Sparse Matrix-Vector ...
Copyright (C) 2024 Xiao Wang, Yuanyuan Zhang, Suhita Ray, Anupama Jha, Tangqi Fang, Shengqi Hang, Sergei Doulatov, William Stafford Noble, and Sheng Wang License ...
A new role for extracellular matrix remodelling in Rheumatoid Arthritis (RA) pathology has been discovered. Dynamic collagen ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: In this paper, we investigate a near-field wideband multiuser communication system based on the symmetric nested array (SNA), which is formed by nesting a dense subarray within a uniformly ...
Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in graph computing and analytics. However, the irregularity of real-world graphs poses significant challenges to ...
This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
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