Abstract
In recent times the work on networks of processors has become very important, due to the low cost and the availability of these systems. This is why it is interesting to study algorithms on networks of processors. In this paper we study on networks of processors different Eigenvalue Solvers. In particular, the Power method, deflation, Givens algorithm, Davidson methods and Jacobi methods are analized using PVM and MPI. The conclusion is that the solution of Eigenvalue Problems can be accelerated by using networks of processors and typical parallel algorithms, but the high cost of communications in these systems gives rise to small modifications in the algorithms to achieve good performance.
Partially supported by Comisióon Interministerial de Ciencia y Tecnología, project TIC96-1062-C03-02, and Consejería de Cultura y Educación de Murcia, Dirección General de Universidades, project COM-18/96 MAT.
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Giménez, D., Jiménez, C., Majado, M.J., Marín, N., Martín, A. (1999). Solving Eigenvalue Problems on Networks of Processors. In: Hernández, V., Palma, J.M.L.M., Dongarra, J.J. (eds) Vector and Parallel Processing – VECPAR’98. VECPAR 1998. Lecture Notes in Computer Science, vol 1573. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703040_8
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DOI: https://doi.org/10.1007/10703040_8
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