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→Main Fountain
==Main Fountain==
Solve large-scale calculation problems, provide BLAS, LAPACK linear algebra programs, fast Fourier transform, vector mathematical functions, random number generation functions, and other functions.
1) BLAS and LAPACK
Deploying highly optimized basic linear algebra routines BLAS (Basic Linear Algebra Subroutines) and linear algebra package LAPACK (Linear Algebra Package) routines in Intel processors provides significant performance improvements.
2) ScaLAPACK
ScaLAPACK is a parallel computing software package suitable for MIMD parallel machines with distributed storage. ScaLAPACK provides several linear algebra solving functions, which are highly efficient, portable, scalable, and highly reliable. Using its solving library, parallel applications based on linear algebra operations can be developed.
The Intel® MKL implementation of ScaLAPACK can provide significant performance improvements far beyond what a standard NETLIB implementation can achieve.
3) PARDISO sparse matrix solver
Use the PARDISO direct sparse matrix solver to solve large sparse linear equations. The solver is authorized by the University of Basel. It is an easy-to-use, thread-safe, high-performance memory-efficient software library. Intel? MKL also includes a conjugate gradient solver and FGMRES iterative sparse matrix solver.
4) Fast Fourier Transform (FFT)
Take advantage of multi-dimensional FFT subroutines (from 1 to 7 dimensions) with a new, easy-to-use C/Fortran interface. Intel? MKL supports distributed memory clusters that use the same API, allowing workloads to be easily distributed to a large number of processors, thereby achieving substantial performance improvements. In addition, Intel? MKL also provides a series of C language routines ("wrapper"), these routines can simulate FFTW 2.x and 3.0 interfaces, thereby supporting current FFTW users to integrate Intel? MKL into existing applications.
5) Vector Math Library (VML)
The Vector Math Library uses vector implementations of computationally intensive core mathematical functions (power functions, trigonometric functions, exponential functions, hyperbolic functions, logarithmic functions, etc.) to significantly increase the application speed.
6) Vector Statistics Library-Random Number Generator (VSL)
Use the Vector Statistical Library (Vector Statistical Library) random number generator to accelerate the simulation, so as to achieve a system performance improvement far higher than that of the scalar random number generator.
==Setting up MKL==