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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
  • 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
  • XBLAS - Extra Precise Basic Linear Algebra Subroutines - Netlib
    EXTENDED PRECISION is only used internally; the input and output arguments remain the same as in the existing BLAS At present, we only allow Single, Double, or Extra internal precision Extra precision is implemented as double-double precision (128-bit total, 106-bit significand) The routines for the double-double precision basic arithmetic operations +, -, *, were developed by David Bailey
  • 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)
  • 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
  • Sparse BLAS - Netlib
    Sparse BLAS In the spirit of the dense BLAS, work is underway in the BLAS Technical Forum to establish a standard for the sparse BLAS The sparse BLAS interface addresses computational routines for unstructured sparse matrices Sparse BLAS also contains the three levels of operations as in the dense case
  • blas - Use cmake FindBLAS to link OpenBLAS - Stack Overflow
    I am using cmake 3 16, and I know that cmake supports finding OpenBLAS by using FindBLAS (here) I am trying to link OpenBLAS to my c++ project Here is my CMakeLists txt cmake_minimum_required(
  • Element-wise vector-vector multiplication in BLAS?
    Is there a means to do element-wise vector-vector multiplication with BLAS, GSL or any other high performance library ?
  • What is a good free (open source) BLAS LAPACK library for . net (C#)?
    Since the program is mainly a prototype created to confirm a theory, a C# implementation will suffice (compared to a possibly speedier C++ one), but I would still like a good BLAS or LAPACK library available to save me some coding Long story short, can anybody recommend a free open source BLAS or LAPACK library for use with net? Best regards





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