Eigenvectors-based parallelisation of nested loops with affine dependences

This paper is concerned with parallelising a special class of nested loops with affine dependences. The data dependences of the program are captured in a so-called dependence matrix. Based on the eigenvalues and eigenvectors of this matrix, the proposed approach can generate a greater degree of DOALL parallelism than traditional unimodular transformations.