Adaptive Jacobi method for parallel singular value decompositions
Shen‐Fu Hsiao · 2002
The Jacobi method has been used on special-purpose multiprocessor VLSI systems for parallel singular value decomposition (SVD) of dense matrices, and CORDIC processors are often used as the basic processing elements to implement the two-sided rotations, the fundamental operations in the Jacobi method. Generalizations of the original CORDIC algorithm to multi-dimensional spaces have been used in the SVD of complex matrices to achieve faster computation speed. A further speed-up of more than 2 can be gained by gradually refining the resolution of the CORDIC algorithms used in the Jacobi method.