A Reconfigurable Processing Element Implementation For Matrix Inversion Using Cholesky Decomposition
Aki Happonen, A. Burian, Erwin Hemming · Zenodo (CERN European Organization for Nuclear Research) · 2007
Fixed-point simulation results are used for the performance measure of inverting matrices using a reconfigurable processing element. Matrices are inverted using the Cholesky decomposition algorithm. The reconfigurable processing element is capable of all required mathematical operations. The fixed-point word length analysis is based on simulations of different condition numbers and different matrix sizes.