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 ...
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: Deep learning models rely heavily on matrix multiplication, which is computationally expensive and memory-intensive. Sparse matrices, which contain a high proportion of zero elements, offer ...