SVD in CUDA

The calculation of the Singular Value Decomposition (SVD) of a matrix is at the basis of many computations and approaches in applied science. One example is the regularized solution of linear systems of equations. Another is Principal Component Analysis.

Many times, the applications requiring the SVD calculation deal with large matrices and/or request the SVD computation in an iterative process.