In this paper, we survey algorithms for sparse recovery problems that are based on sparse random matrices. Such matrices has several attractive properties: they support algorithms with low ...

Sparse matrix-vector multiplication (SpMV) is a fundamental routine in computational science and engineering. Its optimization methods on various homogeneous parallel processors, such as CPUs and GPUs ...