LAPACK

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• LAPACK is a collection of high-performance linear algebra routines written in FORTRAN and built on top of BLAS.
• Many vendors supply an optimised version of the LAPACK and BLAS libraries.
• However, there is a large learning curve to using LAPACK.
• Many scientific libraries also use LAPACK underneath.
• To that end, I've provided a small working example written in C++ using LAPACK to get you started.
• update port to slave port of math/lapack, and updated to 3.5.0 accordingly.
• LAPACK is a FORTRAN program system for solving linear equations for matrices which fit entirely in core.
• LAPACK has been very extensively tested on a wide variety of machines and is written completely in Standard FORTRAN 77.
• The *gegv family of routines have been removed from LAPACK 3.6.0 and have been deprecated in SciPy 0.17.0.
• The classical numerical linear algebra libraries, BLAS and LAPACK, play an important role in the scientific computing field.
• CBLAS and LAPACKE are thin wrappers around BLAS and LAPACK respectively, providing the C API / ABI.
• For system level library switching, two custom eselect modules (eselect-blas, eselect-lapack) are provided.
• A: Simply reinstall the virtual packages and your favorite BLAS/LAPACK providers with the eselect-ldso flag toggled.
• Before installing the Haskell bindings you need to install the BLAS and LAPACK packages.
• However, the pkg-config files for LAPACK seem to be installed in a non-standard location.
• The property of a unit diagonal is preserved by some operations and enables some optimizations by LAPACK.
• LAPACK is intended for dense and banded matrices, but not general sparse matrices.
• Most users will already have LAPACK available, either a version they have installed themselves or a vendor version.
• It is assumed that you already downloaded LAPACK from the netlib repository at lapack.tgz.
• A final note: On 64-bit targets, LAPACK cannot be built using GCC 2.95.2 without specifying the -femulate-complex flag.
• This talk outlines the computational package called LAPACK.
• The reference implementation for BLAS/LAPACK is written in Fortran and is very low performance.
• A highly optimized implementation of LAPACK is available on all OSC clusters as part of the Intel Math Kernel Library (MKL).
• We recommend that you use MKL rather than building LAPACK for yourself.

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• ID : Q642141

Spacy 패턴 목록

• [{'LEMMA': 'LAPACK'}]