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Package: libmkl-full-dev (2019.2.187-1) [non-free]

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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.

Tags: Software Development: Libraries, Role: Development Library

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Architecture Package Size Installed Size Files
amd64 19.2 kB88.0 kB [list of files]