Bientinesi, PaoloIgual, Francisco D.Kressner, DanielQuintana-Orti, Enrique S.2011-05-052011-05-052011-05-05201010.1007/978-3-642-14390-8_40https://infoscience.epfl.ch/handle/20.500.14299/67130We investigate the performance of the routines in LAPACK and the Successive Band Reduction (SBR) toolbox for the reduction of a dense matrix to tridiagonal form, a crucial preprocessing stage in the solution of the symmetric eigenvalue problem, on general-purpose multicore processors. In response to the advances of hardware accelerators, we also modify the code in SBR. to accelerate the computation by off-loading a significant part of the operations to a graphics processor (GPU). Performance results illustrate the parallelism and scalability of these algorithms on current high-performance multi-core architectures.text::conference output::conference proceedings::conference paper