Abstract: Efficient representation of sparse matrices is critical for reducing memory usage and improving performance in hardware-accelerated computing systems. This letter presents memory-efficient ...
Lance datasets storing sparse matrix data in coordinate (COO) format achieve minimal compression compared to other columnar formats like Parquet. This results in storage sizes that are nearly ...
Abstract: Sparse matrix-vector multiplication ($({\rm SpM}\times{\rm V})$) has been characterized as one of the most significant computational scientific kernels. The key algorithmic characteristic of ...
This repository shows off the (value, column, row pointer) matrix compression algorithm used for reducing the size of sparse matrices. When modeling a 2-dimensional Laplacian differential equation, a ...
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