ScaLAPACK user's guide
LAPACK Users' guide (third ed.)
LAPACK Users' guide (third ed.)
HLogGP: a new parallel computational model for heterogeneous clusters
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
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Computation of the eigenvalues of a symmetric tridiagonal matrix is a problem of great relevance. Many linear algebra libraries provide subroutines for solving it. But none of them is oriented to be executed in heterogeneous distributed memory multicomputers. In this work we focus on this kind of platforms. Two different load balancing schemes are presented and implemented. The experimental results show that only the algorithms that take into account the heterogeneity of the system when balancing the workload obtain optimum performance. This fact justifies the need of implementing specific load balancing techniques for heterogeneous parallel computers.