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Linear algebra computation on parallel machines

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Applied Parallel Computing Computations in Physics, Chemistry and Engineering Science (PARA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1041))

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Abstract

In the paper we present the results of running DGETRF, DPOTRF and DGEQRF linear algebra subprograms on new three parallel computers: IBM SP-2, SGI Power Challenge and CONVEX Exemplar SPP1000/XA. Computing time, speed in MFLOPS, speedup and efficiency are presented.

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References

  1. Andrson, E., Bai, Z., Bischof, C.H., Demmel, J., Dongarra, J.J., Du Croz, J., Greenbaum, A., Hammarling, S., McKenney, A., Ostrouchov, S., and Sorensen, D.C., “LAPACK Users' Guide Release 2.0”, SIAM, Philadelphia, 1995.

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Jack Dongarra Kaj Madsen Jerzy Waśniewski

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© 1996 Springer-Verlag Berlin Heidelberg

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Bubak, M., Owczarz, W., Waśniewski, J. (1996). Linear algebra computation on parallel machines. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing Computations in Physics, Chemistry and Engineering Science. PARA 1995. Lecture Notes in Computer Science, vol 1041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60902-4_10

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  • DOI: https://doi.org/10.1007/3-540-60902-4_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60902-5

  • Online ISBN: 978-3-540-49670-0

  • eBook Packages: Springer Book Archive

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