Abstract
In this paper the parallel algorithm of preconditioned conjugate gradient method (PCGM) is presented and implemented on DELL workstation cluster. Optimization techniques for the sparse matrix vector multiplication are adopted in programming. The storage schemes are analyzed in detail. The numerical results show that the designed parallel algorithm has good parallel performance on the high performance workstation cluster. This illustrates the power of parallel computing in solving large-scale problems much faster than on a single processor.
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© 2005 Springer-Verlag Berlin Heidelberg
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Fu, C., Zhang, W., Yang, L. (2005). Parallel Computing for Linear Systems of Equations on Workstation Clusters. In: Zhang, W., Tong, W., Chen, Z., Glowinski, R. (eds) Current Trends in High Performance Computing and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27912-1_33
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DOI: https://doi.org/10.1007/3-540-27912-1_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25785-1
Online ISBN: 978-3-540-27912-9
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