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 ...

Implement efficient Hamiltonian matrix construction leveraging momentum conservation to create block-diagonal sparse matrices, enabling larger system sizes through reduced memory footprint and ...

Abstract: Sparse linear arrays (SLAs) have gained significant attention for automotive radar due to their enhanced aperture and angular resolution. A promising approach to Direction-of-Arrival (DOA) ...

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 ...

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 ...