A shared memory parallel algorithm for data reduction using the singular value decomposition

This paper presents a parallel version of a singular value decomposition (SVD) based data reduction method for remotely sensed data that uses a training data set to find good basis vectors for the reduced dimension data. The parallel algorithm is implemented using Fortran 95, OpenMP, and LAPACK, and... View More