"LAPACK"의 두 판 사이의 차이

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* ID :  [https://www.wikidata.org/wiki/Q642141 Q642141]
 
* ID :  [https://www.wikidata.org/wiki/Q642141 Q642141]
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===Spacy 패턴 목록===
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* [{'LEMMA': 'LAPACK'}]

2021년 2월 17일 (수) 01:47 기준 최신판

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  • LAPACK is a collection of high-performance linear algebra routines written in FORTRAN and built on top of BLAS.[1]
  • Many vendors supply an optimised version of the LAPACK and BLAS libraries.[2]
  • However, there is a large learning curve to using LAPACK.[3]
  • Many scientific libraries also use LAPACK underneath.[3]
  • To that end, I've provided a small working example written in C++ using LAPACK to get you started.[3]
  • update port to slave port of math/lapack, and updated to 3.5.0 accordingly.[4]
  • LAPACK is a FORTRAN program system for solving linear equations for matrices which fit entirely in core.[5]
  • LAPACK has been very extensively tested on a wide variety of machines and is written completely in Standard FORTRAN 77.[5]
  • The *gegv family of routines have been removed from LAPACK 3.6.0 and have been deprecated in SciPy 0.17.0.[6]
  • The classical numerical linear algebra libraries, BLAS and LAPACK, play an important role in the scientific computing field.[7]
  • CBLAS and LAPACKE are thin wrappers around BLAS and LAPACK respectively, providing the C API / ABI.[7]
  • For system level library switching, two custom eselect modules (eselect-blas, eselect-lapack) are provided.[7]
  • A: Simply reinstall the virtual packages and your favorite BLAS/LAPACK providers with the eselect-ldso flag toggled.[7]
  • Before installing the Haskell bindings you need to install the BLAS and LAPACK packages.[8]
  • However, the pkg-config files for LAPACK seem to be installed in a non-standard location.[8]
  • The property of a unit diagonal is preserved by some operations and enables some optimizations by LAPACK.[8]
  • LAPACK is intended for dense and banded matrices, but not general sparse matrices.[9]
  • Most users will already have LAPACK available, either a version they have installed themselves or a vendor version.[9]
  • It is assumed that you already downloaded LAPACK from the netlib repository at lapack.tgz.[10]
  • A final note: On 64-bit targets, LAPACK cannot be built using GCC 2.95.2 without specifying the -femulate-complex flag.[10]
  • This talk outlines the computational package called LAPACK.[11]
  • The reference implementation for BLAS/LAPACK is written in Fortran and is very low performance.[12]
  • A highly optimized implementation of LAPACK is available on all OSC clusters as part of the Intel Math Kernel Library (MKL).[13]
  • We recommend that you use MKL rather than building LAPACK for yourself.[13]

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Spacy 패턴 목록

  • [{'LEMMA': 'LAPACK'}]