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 ...

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 ...

The SoupX tutorial uses pandas2ri.activate(), which is deprecated in recent versions of rpy2, and attempts to pass scipy.sparse matrices (like adata.X.T) directly ...

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 ...