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 ...
An empty conda environment with Python >= 3.11 is required and install packages according to requirements.txt. conda create --name csr-v2 python=3.11.13 conda ...
Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
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