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BLAS    音标拼音: [bl'ɑs]

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  • BLAS (Basic Linear Algebra Subprograms)
    The Level 1 BLAS perform scalar, vector and vector-vector operations, the Level 2 BLAS perform matrix-vector operations, and the Level 3 BLAS perform matrix-matrix operations Because the BLAS are efficient, portable, and widely available, they are commonly used in the development of high quality linear algebra software, LAPACK for example
  • Quick Reference Guide to the BLAS - Netlib
    For the Level 2 BLAS a set of extended-precision routines with the prefixes ES, ED, EC, EZ may also be available
  • LAPACK — Linear Algebra PACKage
    LAPACK routines are written so that as much as possible of the computation is performed by calls to the Basic Linear Algebra Subprograms (BLAS) LAPACK is designed at the outset to exploit the Level 3 BLAS — a set of specifications for Fortran subprograms that do various types of matrix multiplication and the solution of triangular systems with multiple right-hand sides Because of the
  • What is the relation between BLAS, LAPACK and ATLAS
    BLAS is a collection of low-level matrix and vector arithmetic operations (“multiply a vector by a scalar”, “multiply two matrices and add to a third matrix”, etc ) LAPACK is a collection of higher-level linear algebra operations Things like matrix factorizations (LU, LLt, QR, SVD, Schur, etc) that are used to do things like “find the eigenvalues of a matrix”, or “find the
  • BLAS - Netlib
    for all the Level 3 BLAS of this type prec doublecomplex gams D1b file sblas3time f for timing the Level 3 BLAS prec single file dblas3time f for timing the Level 3 BLAS prec double file cblas3time f for timing the Level 3 BLAS prec complex file zblas3time f for timing the Level 3 BLAS prec doublecomplex file sgemm f for matrix matrix multiply
  • How does BLAS get such extreme performance? - Stack Overflow
    Only the reference implementation of BLAS is implemented in Fortran However, all these BLAS implementations provide a Fortran interface such that it can be linked against LAPACK (LAPACK gains all its performance from BLAS) Optimized compilers play a minor role in this respect (and for GotoBLAS OpenBLAS the compiler does not matter at all)
  • BLAS Techical Forum - Netlib
    blas_operator_arguments f90 -- Fortran 95 module of derived types for Chapters 2 and 4 blas_precision f90 -- Fortran 95 module of precisions for Chapters 2 and 4 blas_dense_red_op f90 -- Fortran 95 module of reduction operations routines for Chapter 2 blas_dense_gen_trans f90 -- Fortran 95 module of generate transformations routines for Chapter
  • LAPACK: BLAS - Netlib
    Detailed Description BLAS are defined by three papers: Basic linear algebra subprograms for {FORTRAN} usage, Lawson et al, 1979 An extended set of {FORTRAN} basic linear algebra subprograms, Dongarra et al, 1988 A set of level 3 basic linear algebra subprograms, Dongarra et al, 1990 Some BLAS-like routines (e g , csymv, crot, csum1, icmax1) exist in LAPACK rather than the classic BLAS
  • LAPACK FAQ - Netlib
    LAPACK routines are written so that as much as possible of the computation is performed by calls to the Basic Linear Algebra Subprograms (BLAS) While LINPACK and EISPACK are based on the vector operation kernels of the Level 1 BLAS, LAPACK was designed at the outset to exploit the Level 3 BLAS — a set of specifications for Fortran subprograms that do various types of matrix multiplication
  • LAPACK and the BLAS - Netlib
    LAPACK and the BLAS LAPACK routines are written so that as much as possible of the computation is performed by calls to the Basic Linear Algebra Subprograms (BLAS) [78, 42, 40] Highly efficient machine-specific implementations of the BLAS are available for many modern high-performance computers





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