Result for 46B410BCAD986A3D2477DAA1C380938FEEC6B48D

Query result

Key Value
FileName./usr/share/intel-mkl/builder/vml_vsl_example_list
FileSize15149
MD5375E8E2C7EF9EBA821265DC19E432970
SHA-146B410BCAD986A3D2477DAA1C380938FEEC6B48D
SHA-2564CC0C1ABB7B937DB90C3CA6AEF56B7840DE9E2C31F890044A9B4473F4E7B84C5
SSDEEP384:d5iZ7bPiQQMsN9Jn0YWnBYFzkBK1hkBsjdRrBKPWwPYlKY/zgDUrf:yPbKRguQBWhkm/rIWwAljgDyf
TLSHT16262A56BA160546F71322C3635DA98C16DAE8B0368DC64D84E337EB33235751B362EBD
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize19692
MD57825F13493B98889BE5D6C5BD2747A5F
PackageDescriptionIntel® Math Kernel Library (Intel® MKL) (Full Version Dev) Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. . Intel MKL provides comprehensive functionality support in these major areas of computation: . * BLAS (level 1, 2, and 3) and LAPACK linear algebra routines, offering vector, vector-matrix, and matrix-matrix operations. * ScaLAPACK distributed processing linear algebra routines, as well as the Basic Linear Algebra Communications Subprograms (BLACS) and the Parallel Basic Linear Algebra Subprograms (PBLAS). * Intel MKL PARDISO (a direct sparse solver based on Parallel Direct Sparse Solver PARDISO*), an iterative sparse solver, and supporting sparse BLAS (level 1, 2, and 3) routines for solving sparse systems of equations, as well as a distributed version of Intel MKL PARDISO solver provided for use on clusters. * Fast Fourier transform (FFT) functions in one, two, or three dimensions with support for mixed radices (not limited to sizes that are powers of 2), as well as distributed versions of these functions provided for use on clusters. * Vector Mathematics (VM) routines for optimized mathematical operations on vectors. * Vector Statistics (VS) routines, which offer high-performance vectorized random number generators (RNG) for several probability distributions, convolution and correlation routines, and summary statistics functions. * Data Fitting Library, which provides capabilities for spline-based approximation of functions, derivatives and integrals of functions, and search. * Extended Eigensolver, a shared memory programming (SMP) version of an eigensolver based on the Feast Eigenvalue Solver. * Deep Neural Network (DNN) primitive functions with C language interface. . This package pulls all the header files, static and shared objects of MKL.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamelibmkl-full-dev
PackageSectionnon-free/libdevel
PackageVersion2019.2.187-1
SHA-10D2FBC4FAF7D0ACD7E0CC3D331B3F627DDE6E555
SHA-256A16BDC97E89F751F11ADEF8225D103EEA237E2855393FCA42442848F21BAE5BE
Key Value
FileSize17208
MD57AB4224C1609841A8C8FDB872DA8C305
PackageDescriptionIntel® Math Kernel Library (Intel® MKL) (Full Version Dev) Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. The library provides Fortran and C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. . Intel MKL provides comprehensive functionality support in these major areas of computation: . * BLAS (level 1, 2, and 3) and LAPACK linear algebra routines, offering vector, vector-matrix, and matrix-matrix operations. * ScaLAPACK distributed processing linear algebra routines, as well as the Basic Linear Algebra Communications Subprograms (BLACS) and the Parallel Basic Linear Algebra Subprograms (PBLAS). * Intel MKL PARDISO (a direct sparse solver based on Parallel Direct Sparse Solver PARDISO*), an iterative sparse solver, and supporting sparse BLAS (level 1, 2, and 3) routines for solving sparse systems of equations, as well as a distributed version of Intel MKL PARDISO solver provided for use on clusters. * Fast Fourier transform (FFT) functions in one, two, or three dimensions with support for mixed radices (not limited to sizes that are powers of 2), as well as distributed versions of these functions provided for use on clusters. * Vector Mathematics (VM) routines for optimized mathematical operations on vectors. * Vector Statistics (VS) routines, which offer high-performance vectorized random number generators (RNG) for several probability distributions, convolution and correlation routines, and summary statistics functions. * Data Fitting Library, which provides capabilities for spline-based approximation of functions, derivatives and integrals of functions, and search. * Extended Eigensolver, a shared memory programming (SMP) version of an eigensolver based on the Feast Eigenvalue Solver. * Deep Neural Network (DNN) primitive functions with C language interface. . This package pulls all the header files, static and shared objects of MKL.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibmkl-full-dev
PackageSectionnon-free/libdevel
PackageVersion2020.0.166-1
SHA-1E2DFF932EEDC2C7B302E7EDDAC4960075B63A761
SHA-2566BD8F6514D44307220AAFAE8146B6162AC836107DDA91A9D51E0EE6801DC6925