Implement appropriate data structures to support efficient operations on sparse matrices. The operations should at least include addition (subtraction) and multiplication of matrices. 2 Input Provide ...

Sparse matrices are data structures that efficiently store and operate on matrices with mostly zero elements. They are crucial in machine learning for handling large datasets with many zero values, ...

Abstract: Sparse Matrix-Multivector (SpMM) multiplication is a key kernel for deep learning models and scientific computing applications. However, achieving high performance for SpMM on GPUs is ...

Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...