The design and implementation of the ScaLAPACK LU, QR, and Cholesky factorization routines:

Abstract: "This paper presents LU, QR and Cholesky factorization routines for dense matrices, which are important components of the ScaLAPACK library. The ScaLAPACK routines are implemented assuming matrices have a block cyclic data distribution, and are built using the BLAS [12, 13, 16], the B...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Format: Buch
Sprache:English
Veröffentlicht: Oak Ridge, Tenn. 1994
Schriftenreihe:LAPACK working note 80
Schlagworte:
Zusammenfassung:Abstract: "This paper presents LU, QR and Cholesky factorization routines for dense matrices, which are important components of the ScaLAPACK library. The ScaLAPACK routines are implemented assuming matrices have a block cyclic data distribution, and are built using the BLAS [12, 13, 16], the BLACS [3], and the PBLAS, which provide a simplified interface around the PB-BLAS [7]. In implementing the ScaLAPACK routines, a major objective was to parallelize the corresponding sequential LAPACK using the BLAS, BLACS, and PBLAS as building blocks, leading to straightforward parallel implementations without sacrificing performance. We present the details of the implementation of the ScaLAPACK factorization routines, and performance and scalability results on the Intel iPSC/860, the Intel Touchstone Delta, and the Intel Paragon systems."
Beschreibung:V, 26 S. graph. Darst.

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