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 ...
A real-world matrix (1138_bus.mtx) is used to benchmark performance across different execution models. ├── CMakeLists.txt ├── include/ │ ├── csr_matrix.hpp │ ├── csr_operations.hpp │ └── ...
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 ...
NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...
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