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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
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    4. Algebra

    ScaLAPACK Users' Guide

    AvL.S. Blackford,J. Choi

    Häftad, Engelska, 1997

    Del i serien Software Environments and Tools

    1 210 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    ScaLAPACK is an acronym for Scalable Linear Algebra Package or Scalable LAPACK. It is a library of high-performance linear algebra routines for distributed memory message-passing MIMD computers and networks of workstations supporting parallel virtual machine (PVM) and/or message passing interface (MPI). It is a continuation of the LAPACK project, which designed and produced analogous software for workstations, vector supercomputers, and shared memory parallel computers. Both libraries contain routines for solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both projects are efficiency, scalability, reliability, portability, flexibility, and ease of use.ScaLAPACK includes routines for the solution of dense, band, and tridiagonal linear systems of equations, condition estimation and iterative refinement, for LU and Cholesky factorization, matrix inversion, full-rank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions to upper Hessenberg, bidiagonal and tridiagonal form, reduction of a symmetric-definite/ Hermitian-definite generalized eigenproblem to standard form, the symmetric/Hermitian, generalized symmetric/Hermitian, and nonsymmetric eigenproblem, and the singular value decomposition. Prototype codes are provided for out-of-core linear solvers for LU, Cholesky, and QR, the matrix sign function for eigenproblems, an HPF interface to a subset of ScaLAPACK routines, and SuperLU.Software is available in single-precision real, double-precision real, single-precision complex, and double-precision complex. The software has been written to be portable across a wide range of distributed-memory environments such as the Cray T3, IBM SP, Intel series, TM CM-5, networks of workstations, and any system for which PVM or MPI is available.Each Users' Guide includes a CD-ROM containing the HTML version of the ScaLAPACK Users' Guide, the source code for ScaLAPACK and LAPACK, testing and timing programs, prebuilt versions of the library for a number of computers, example programs, and the full set of LAPACK Working Notes.

    Produktinformation

    • Utgivningsdatum:1997-07-31
    • Mått:152 x 229 x 28 mm
    • Vikt:902 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Software Environments and Tools
    • Antal sidor:341
    • Förlag:Society for Industrial & Applied Mathematics,U.S.
    • ISBN:9780898713978

    Utforska kategorier

    • Algebra inom Naturvetenskap och teknik
    • Databaser inom Data och IT

    Innehållsförteckning

    • List of FiguresList of TablesPrefaceSuggestions for ReadingList of NotationPart I: Guide. Chapter 1: Essentials. ScaLAPACKStructure and FunctionalitySoftware ComponentsEfficiency and PortabilityAvailabilityCommercial UseInstallationDocumentationSupportErrataRelated ProjectsContents of the CD-ROMChapter 2: Getting Started with ScaLAPACK. How to Run an Example Program Using MPISource Code for Example Program #1Details of Example Program #1Four Basic Steps Required to Call a ScaLAPACK RoutineChapter 3: Contents of ScaLAPACK. Structure of ScaLAPACKDriver RoutinesComputational RoutinesOrthogonal or Unitary MatricesAlgorithmic Differences between LAPACK and ScaLAPACKChapter 4: Data Distribution and Software Conventions. BasicsArray DescriptorsIn-Core Dense MatricesIn-Core Narrow Band and Tridiagonal MatricesOut-of-Core MatricesDesign and Documentation of Argument ListsExtensionsChapter 5: Performance of ScaLAPACK. Achieving High Performance with ScaLAPACKPerformance, Portability and ScalabilityPerformance EvaluationPerformance ImprovementPerformance of Banded and Out-of-Core DriversChapter 6: Accuracy and Stability. Sources of Error in Numerical CalculationsNew Sources of Error in Parallel Numerical ComputationsHow to Measure ErrorsFurther Details: How Error Bounds are DerivedError Bounds for Linear Equation SolvingError Bounds for Linear Least Squares ProblemsError Bounds for the Symmetric EigenproblemError Bounds for the Singular Value DecompositionError Bounds for the Generalized Symmetric Definite EigenproblemChapter 7: Troubleshooting. Installation Debugging HintsApplication Debugging HintsCommon Errors in Calling ScaLAPACK RoutinesFailures Detected by ScaLAPACK RoutinesWrong ResultsError Handling in the PBLASError Handling in the BLACSSystem Error MessagesPoor PerformanceAppendix A: Index of ScaLAPACK Routines. Index of Driver and Computational RoutinesIndex of Auxiliary RoutinesMatrix Redistribution/Copy RoutinesAppendix B: Call Conversion: LAPACK to ScaLAPACK and BLAS to PBLAS. Translating BLAS-based programs to the PBLASTranslating LAPACK-based programs to ScaLAPACKAppendix C: Example Programs. Example Program #2HPF Interface to ScaLAPACKAppendix D: Quick Reference Guides. ScaLAPACK Quick Reference GuideQuick Reference Guide to the PBLASQuick Reference Guide to the BLACSGlossaryPart II: Specifications of Routines. BibliographyIndex by KeywordIndex by Routine Name.