Result for 3A180B9EBA8C3750BD5BD24DEA2EBFAC5D4AA543

Query result

Key Value
FileName./usr/share/intel-mkl/builder/cblas_example_list
FileSize2780
MD5ECE5A2348C97EBA1A5E48DBF06660863
SHA-13A180B9EBA8C3750BD5BD24DEA2EBFAC5D4AA543
SHA-2568F87EB2113D5E26F9414AAD027C40227C0800D2475BB06E501407D0CFC90BFD7
SSDEEP48:dDZsGXBkugnsJDlH60EqtvJs/uEEUd2SGxYJcW8gr1Kj6ZMnAx:dDZsmiNsJh60FVEf21xYJcW8wh1
TLSHT1525190382328112F574132726BDA96AF152B4C2BCD15B0CEF62D747F118E7CF51D8911
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