How to Install and Uninstall libmkl-full-dev Package on Kali Linux
Last updated: December 24,2024
1. Install "libmkl-full-dev" package
In this section, we are going to explain the necessary steps to install libmkl-full-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libmkl-full-dev
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2. Uninstall "libmkl-full-dev" package
This guide let you learn how to uninstall libmkl-full-dev on Kali Linux:
$
sudo apt remove
libmkl-full-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libmkl-full-dev package on Kali Linux
Package: libmkl-full-dev
Source: intel-mkl
Version: 2020.4.304-4
Installed-Size: 87
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libmkl-dev (= 2020.4.304-4), libmkl-rt (= 2020.4.304-4), libmkl-interface-dev (= 2020.4.304-4), libmkl-threading-dev (= 2020.4.304-4), libmkl-computational-dev (= 2020.4.304-4)
Recommends: intel-mkl-doc (= 2020.4.304-4), libmkl-rt:i386 (= 2020.4.304-4), libmkl-interface-dev:i386 (= 2020.4.304-4), libmkl-threading-dev:i386 (= 2020.4.304-4), libmkl-computational-dev:i386 (= 2020.4.304-4)
Size: 18632
SHA256: 11759c68fb82d727ab64c77d03387a37456ca1105e5f8a125ee5ac21fbbb8619
SHA1: 0ca94580fdd8ce5bc9c1e5130ab88a729690d45c
MD5sum: 2aa7b4342453584369cb8a58b22a4874
Description: Intel® 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.
Description-md5:
Multi-Arch: foreign
Homepage: https://software.intel.com/en-us/mkl
Tag: devel::library, role::devel-lib
Section: non-free/libdevel
Priority: optional
Filename: pool/non-free/i/intel-mkl/libmkl-full-dev_2020.4.304-4_amd64.deb
Source: intel-mkl
Version: 2020.4.304-4
Installed-Size: 87
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: libmkl-dev (= 2020.4.304-4), libmkl-rt (= 2020.4.304-4), libmkl-interface-dev (= 2020.4.304-4), libmkl-threading-dev (= 2020.4.304-4), libmkl-computational-dev (= 2020.4.304-4)
Recommends: intel-mkl-doc (= 2020.4.304-4), libmkl-rt:i386 (= 2020.4.304-4), libmkl-interface-dev:i386 (= 2020.4.304-4), libmkl-threading-dev:i386 (= 2020.4.304-4), libmkl-computational-dev:i386 (= 2020.4.304-4)
Size: 18632
SHA256: 11759c68fb82d727ab64c77d03387a37456ca1105e5f8a125ee5ac21fbbb8619
SHA1: 0ca94580fdd8ce5bc9c1e5130ab88a729690d45c
MD5sum: 2aa7b4342453584369cb8a58b22a4874
Description: Intel® 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.
Description-md5:
Multi-Arch: foreign
Homepage: https://software.intel.com/en-us/mkl
Tag: devel::library, role::devel-lib
Section: non-free/libdevel
Priority: optional
Filename: pool/non-free/i/intel-mkl/libmkl-full-dev_2020.4.304-4_amd64.deb