Automated code generation and performance enhancements for sparse tensor algebra have
become essential in many real-world applications, such as quantum computing, physical …

Sparse tensor networks represent contractions over multiple sparse tensors. Tensor
contractions are higher-order analogs of matrix multiplication. Tensor networks arise …

Candecomp/PARAFAC (CP) decomposition, a generalization of the matrix singular value
decomposition to higher-dimensional tensors, is a popular tool for analyzing …

Sparse Matrices found in the real world often have some structure in their distribution of
dense elements. While existing techniques specialize the generated code for the structure of …