CSRSPMM is a high-performance library for multiplying Compressed Sparse Row (CSR) matrices with dense matrices on NVIDIA GPUs. It includes a generic CUDA backend, and a PyTorch extension for easy ...
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 ...
Abstract: The performance of sparse matrix vector multiplication (SpMV) is important to computational scientists. Compressed sparse row (CSR) is the most frequently used format to store sparse ...
Second challenge of the PACS course at Politecnico di Milano: design and implementation of a sparse matrix class in C++ supporting multiple storage formats (COO, CSR, CSC), compression, matrix*vector ...
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